Yaochu Jin

发表

Dynamic Weighted Aggregation for evolutionary multi-objective optimization: why does it work and how?

Yaochu Jin, M. Olhofer, B. Sendhoff, 2001 .

Managing approximate models in evolutionary aerodynamic design optimization

Yaochu Jin, M. Olhofer, B. Sendhoff, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm

Qingfu Zhang, Aimin Zhou, Yaochu Jin, 2009, IEEE Transactions on Evolutionary Computation.

Evolutionary multi-objective optimisation with a hybrid representation

Yaochu Jin, B. Sendhoff, T. Okabe, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Evolutionary Computation in Dynamic and Uncertain Environments

Shengxiang Yang, Yaochu Jin, Yew-Soon Ong, 2007, Studies in Computational Intelligence.

Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms

Yaochu Jin, M. Olhofer, B. Sendhoff, 2006 .

Quality Measures for Approximate Models in Evolutionary Computation

Yaochu Jin, B. Sendhoff, 2003 .

Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]

Graham J. Williams, Zhi-Hua Zhou, Yaochu Jin, 2014, IEEE Computational Intelligence Magazine.

A social learning particle swarm optimization algorithm for scalable optimization

Yaochu Jin, Ran Cheng, Yaochu Jin, 2015, Inf. Sci..

A two-stage R2 indicator based evolutionary algorithm for many-objective optimization

Fei Li, Jianchang Liu, Yaochu Jin, 2018, Appl. Soft Comput..

A framework for evolutionary optimization with approximate fitness functions

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2002, IEEE Trans. Evol. Comput..

Real-World Applications of Multiobjective Optimization

Theodor J. Stewart, Nirupam Chakraborti, Hirotaka Nakayama, 2008, Multiobjective Optimization.

Adaptive encoding for aerodynamic shape optimization using evolution strategies

Yaochu Jin, M. Olhofer, B. Sendhoff, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

A critical survey of performance indices for multi-objective optimisation

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Lamarckian memetic algorithms: local optimum and connectivity structure analysis

Bernhard Sendhoff, Yaochu Jin, Yew-Soon Ong, 2009, Memetic Comput..

On generating FC3 fuzzy rule systems from data using evolution strategies

Bernhard Sendhoff, Werner von Seelen, Yaochu Jin, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Applications of Evolutionary Computing

Rolf Drechsler, Franz Rothlauf, Elena Marchiori, 2004, Lecture Notes in Computer Science.

Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields

Helge J. Ritter, Yaochu Jin, Benjamin Inden, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion

Qingfu Zhang, Bernhard Sendhoff, Aimin Zhou, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Connectedness, regularity and the success of local search in evolutionary multi-objective optimization

Yaochu Jin, B. Sendhoff, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Approximate non-dominated sorting for evolutionary many-objective optimization

Ye Tian, Yaochu Jin, Xingyi Zhang, 2016, Inf. Sci..

An improved random forest-based rule extraction method for breast cancer diagnosis

Yunqiang Yin, Yuyan Wang, Yaochu Jin, 2020, Appl. Soft Comput..

HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction

Lei Wang, Huaming Chen, Jun Shen, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Dialog Column Evolutionary Developmental Robotics – The Next Step to Go ?

Yaochu Jin, 2011 .

Vector Field Embryogeny

Yaochu Jin, B. Sendhoff, T. Steiner, 2009, PloS one.

Adaptive fuzzy modelling and identification with its applications

Yaochu Jin, Jingping Jiang, Jing Zhu, 1995 .

Surrogate-Assisted Multicriteria Optimization

Yaochu Jin, M. Emmerich, Jussi Hakanen, 2016 .

An Evolving Gene Regulatory Network based Spiking Neural Network for Online Human Behavior Recognition

Yaochu Jin, Y. Meng, Jun Yin, 2022 .

Modeling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups

Yaochu Jin, E. Laing, Colin P. Smith, 2016 .

Reconstructing regulatory networks in Streptomyces using evolutionary algorithms

Yaochu Jin, Colin P. Smith, Spencer Angus Thomas, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

An Efficient Approach to Non-dominated Sorting for Evolutionary Multi-objective Optimization

Ye Tian, Yaochu Jin, Ran Cheng, 2014 .

Learning Structure of Complex Sensory Inputs with Plasticity in Neural Microcircuits

Yaochu Jin, J. Chrol-Cannon, 2015 .

11 Real-World Applications of Multiobjective Optimization

Yaochu Jin, M. Ehrgott, T. Stewart, 2008 .

Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism

Xin Yao, Bernhard Sendhoff, Ben Jones, 2008, ALIFE.

Emerged optimal distribution of computational workload in the evolution of an undulatory animat

X. Yao, Yaochu Jin, B. Sendhoff, 2010 .

A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage

Yan Meng, Hongliang Guo, Yaochu Jin, 2012, TAAS.

Evolving H‐GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots

Yaochu Jin, H. Oh, 2016 .

A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization

Yaochu Jin, Jian Wang, Kaixiang Zhang, 2022, Swarm Evol. Comput..

Automatic Algorithm Selection for Evolutionary Multi- Objective Optimization

Yaochu Jin, Xingyi Zhang, T. Rodemann, 2022 .

Editorial IEEE Transactions on Cognitive and Developmental Systems

Yaochu Jin, Yaochu Jin, 2016, IEEE Trans. Cogn. Dev. Syst..

Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World

Qingfu Zhang, Zbigniew Michalewicz, Riccardo Poli, 2007 .

Recent Advances in Bayesian Optimization

Yaochu Jin, M. Olhofer, Xilu Wang, 2022, ArXiv.

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A

J. Branke, Yaochu Jin, X. Yao, 2021, IEEE Transactions on Evolutionary Computation.

A Survey on Surrogate-assisted Efficient Neural Architecture Search

Yaochu Jin, Shiqing Liu, Haoyu Zhang, 2022, ArXiv.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Haibo He, Kay Chen Tan, 2020, IEEE Computational Intelligence Magazine.

A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems

Yaochu Jin, Xingyi Zhang, Ye Tian, 2020, IEEE Transactions on Cybernetics.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Haibo He, Kay Chen Tan, 2017, IEEE Computational Intelligence Magazine.

Towards Fairness-Aware Multi-Objective Optimization

Yaochu Jin, Lianbo Ma, W. Du, 2022, ArXiv.

Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management

C. Coello, Yaochu Jin, 2018 .

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss

Yaochu Jin, Yefeng Zheng, Jinbao Wang, 2022, ACM Multimedia.

Proceedings of the 10th International Conference on Simulated Evolution and Learning - Volume 8886

Grant Dick, Peter A. Whigham, Mengjie Zhang, 2014 .

Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms

Yaochu Jin, Spencer Angus Thomas, Yaochu Jin, 2013, J. Bioinform. Comput. Biol..

Multi-Objective Machine Learning (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Yaochu Jin, Yaochu Jin, 2006 .

Special issue on “Data-driven evolutionary optimization”

Jinliang Ding, Yaochu Jin, Yaochu Jin, 2017, Soft Comput..

IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]

Yaochu Jin, Yaochu Jin, 2014, IEEE Comput. Intell. Mag..

Enhancing classification of mass spectrometry imaging data with deep neural networks

Yaochu Jin, Spencer A. Thomas, Josephine Bunch, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

approach and multi-objective evolutionary algorithms

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2005 .

Optimisation of Transonic Gas Turbine Blades with Evolution Strategies

Markus Olhofer, Yaochu Jin, Toshiyuki Arima, 2002 .

A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization pdf

Yaochu Jin, Wenli Du, Jinjin Xu, 2021, Complex & Intelligent Systems.

Data-Driven Evolutionary Optimization

Yaochu Jin, Handing Wang, Chaoli Sun, 2021, Studies in Computational Intelligence.

A synergetic immune clonal selection algorithm based multi-objective optimization method for carbon fiber drawing process

Yongsheng Ding, Kuangrong Hao, Yaochu Jin, 2013, Fibers and Polymers.

Reconstructing biological gene regulatory networks: where optimization meets big data

Yaochu Jin, Spencer Angus Thomas, Yaochu Jin, 2014, Evol. Intell..

Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses

Yaochu Jin, Emma Laing, Tameera Rahman, 2015, Bioinform..

Extracting Interpretable Fuzzy Rules from RBF Neural Networks

Bernhard Sendhoff, Werner von Seelen, Yaochu Jin, 2000 .

A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

Kaisa Miettinen, Yaochu Jin, Tinkle Chugh, 2018, IEEE Transactions on Evolutionary Computation.

Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives

Yaochu Jin, M. Olhofer, Xilu Wang, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Computational Intelligence in Big Data

Barbara Hammer, Yaochu Jin, Yaochu Jin, 2014 .

Proceedings of the 2011 IEEE symposium on computational intelligence in dynamic and uncertain environments (CIDUE 2011)

Shengxiang Yang, Robi Polikar, Yaochu Jin, 2011 .

Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)

Shengxiang Yang, Yaochu Jin, Yew-Soon Ong, 2007 .

FILTERING NORMAL DIABETIC RETINOPATHY IMAGES THROUGH EVOLUTIONARY COMPUTATION

Yaochu Jin, Hongying Lilian Tang, Tunde Peto, 2011 .

Calcium control of triphasic hippocampal STDP

Yaochu Jin, Daniel Bush, Yaochu Jin, 2012, Journal of Computational Neuroscience.

¿¿2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]

Yaochu Jin, Yaochu Jin, 2012, IEEE Comput. Intell. Mag..

Rule Extraction from Compact Pareto-optimal Neural Networks

Bernhard Sendhoff, Yaochu Jin, Edgar Körner, 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems

Krzysztof Cpalka, Yaochu Jin, Adam Slowik, 2020, IEEE Trans. Fuzzy Syst..

Knowledge in evolutionary and learning systems

Yaochu Jin, Yaochu Jin, 2002 .

Genetic algorithm based sensor network optimization for target tracking

Yaochu Jin, Mohsen A. Jafari, Houshang Darabi, 1999 .

A fast constrained state transition algorithm

Xiaojun Zhou, Yaochu Jin, Jianpeng Long, 2021, Neurocomputing.

Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT

Jie Li, Kok-Lim Alvin Yau, Yaochu Jin, 2020, IEEE Trans. Emerg. Top. Comput. Intell..

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times

Yaochu Jin, Markus Olhofer, Sebastian Schmitt, 2020, GECCO.

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection

Ye Tian, Yaochu Jin, Xingyi Zhang, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Optimizing Maritime Terminal Infrastructure Subject To Uncertainty

Ben Gouldby, Yaochu Jin, Soon-Thiam Khu, 2014 .

EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION APPROACH TO CONSTRUCTING NEURAL NETWORK ENSEMBLES FOR REGRESSION

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2004 .

Guest Editorial Special Issue on Evolutionary Computation in the Presence of Uncertainty

Jürgen Branke, Yaochu Jin, J. Branke, 2006 .

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues

Yaochu Jin, Mengjie Zhang, Guo-Ding Yu, 2022, ACM Comput. Surv..

Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization

Yaochu Jin, Tobias Rodemann, Qiqi Liu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization

Yaochu Jin, Xingyi Zhang, K. Tan, 2021, IEEE Transactions on Cybernetics.

Object Recognition using Neural Networks with Bottom-up and Top-down Pathways

Yaochu Jin, Y. Meng, Yuhua Zheng, 2022 .

Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

Yaochu Jin, Yi-Te Hong, Yang Tang, 2022, NeurIPS.

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks

Yaochu Jin, Xingyi Zhang, K. Tan, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Computational Modeling of Structural Synaptic Plasticity in Echo State Networks

Yaochu Jin, K. Hao, Xinjie Wang, 2021, IEEE Transactions on Cybernetics.

A Fast Sampling based Evolutionary Algorithm for Million-dimensional Multiobjective Optimization

Yaochu Jin, Lianghao Li, Linqiang Pan, 2022, Swarm and Evolutionary Computation.

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

K. Deb, Yaochu Jin, K. Tan, 2022, ArXiv.

Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization

Yaochu Jin, Xingyi Zhang, K. Tan, 2022, IEEE/CAA Journal of Automatica Sinica.

An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization

Yaochu Jin, Jian Wang, Kaixiang Zhang, 2022, IEEE Transactions on Evolutionary Computation.

Cross-Modality Neuroimage Synthesis: A Survey

Yaochu Jin, Yefeng Zheng, Jin-Bao Wang, 2022, 2202.06997.

CIS Publication Spotlight Publication Spotlight

G. Kendall, Haibo He, Yaochu Jin, 2016, IEEE Computational Intelligence Magazine.

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss

Yaochu Jin, Jinbao Wang, Yefeng Zheng, 2022, ACM Multimedia.

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization

Yaochu Jin, Jinhua Zheng, Shengxiang Yang, 2022, Inf. Sci..

Ternary Compression for Communication-Efficient Federated Learning

Yaochu Jin, Wangli He, W. Du, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings

Yaochu Jin, Xihe Qiu, Xiaoyu Tan, 2022, Inf. Sci..

A survey on computationally efficient neural architecture search

Yaochu Jin, Shiqing Liu, Haoyu Zhang, 2022, Journal of Automation and Intelligence.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Haibo He, Hussein A. Abbass, 2016, IEEE Computational Intelligence Magazine.

End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location

Yaochu Jin, Xueming Yan, Shiqing Liu, 2022, EMO.

Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing

Yaochu Jin, K. Hao, Haoyu Zhang, 2022, IEEE Transactions on Evolutionary Computation.

A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm

Yaochu Jin, P. Ligeti, Qiqi Liu, 2022, ArXiv.

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features

Yaochu Jin, S. Thomas, Foivos Ntelemis, 2022, IEEE transactions on neural networks and learning systems.

Recent Advances in Bayesian Optimization

Yaochu Jin, M. Olhofer, Xilu Wang, 2022, ACM Comput. Surv..

Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning

Yaochu Jin, Yongduan Song, Qing Chen, 2021, Neurocomputing.

A Survey of Cross-Modality Brain Image Synthesis

Yaochu Jin, Yefeng Zheng, Jinbao Wang, 2022, ArXiv.

Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service

Yaochu Jin, Zhen Yang, Yongsheng Ding, 2020, IEEE Transactions on Cybernetics.

Applications of Evolutionary Computing: Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC (Lecture Notes in Computer Science)

Rolf Drechsler, Franz Rothlauf, Elena Marchiori, 2005 .

CIS Publication Spotlight Publication Spotlight

Haibo He, Kay Chen Tan, Graham Kendall, 2016, IEEE Computational Intelligence Magazine.

Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization

Yaochu Jin, Ran Cheng, Tobias Rodemann, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis

Yaochu Jin, Yunqiang Yin, Sutong Wang, 2021, IEEE Transactions on Cybernetics.

Cross-Modality Neuroimage Synthesis: A Survey

Yaochu Jin, Yefeng Zheng, Jin-Bao Wang, 2022, 2202.06997.

Reconstructing biological gene regulatory networks: where optimization meets big data

Yaochu Jin, S. Thomas, 2013, Evolutionary Intelligence.

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization

Yaochu Jin, Lianbo Ma, Hengmin Zhang, 2022, IEEE Transactions on Evolutionary Computation.

A framework for finding robust optimal solutions over time

Yaochu Jin, B. Sendhoff, X. Yao, 2012, Memetic Computing.

An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems

Ye Tian, Yaochu Jin, Chao Wang, 2020, IEEE Transactions on Evolutionary Computation.

Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Intelligent Computing: The Latest Advances, Challenges and Future

S. Gigan, Yaochu Jin, Jiangxing Wu, 2022, Intelligent Computing.

Computational modeling of neural plasticity for self-organization of neural networks

Yaochu Jin, Joseph Chrol-Cannon, Yaochu Jin, 2014, Biosyst..

A Competitive Swarm Optimizer for Large Scale Optimization

Yaochu Jin, Ran Cheng, Yaochu Jin, 2015, IEEE Transactions on Cybernetics.

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

Xin Yao, Ye Tian, Yaochu Jin, 2019, IEEE Transactions on Evolutionary Computation.

Effectiveness and efficiency of non-dominated sorting for evolutionary multi- and many-objective optimization

Ye Tian, Handing Wang, Yaochu Jin, 2017, Complex & Intelligent Systems.

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results pdf

Qingfu Zhang, Hisao Ishibuchi, Kay Chen Tan, 2017, ArXiv.

Evolutionary Multi-objective Optimization of Spiking Neural Networks

Bernhard Sendhoff, Yaochu Jin, Ruojing Wen, 2007, ICANN.

Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations

Bernhard Sendhoff, Yaochu Jin, Edgar Körner, 2005, EMO.

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B

J. Branke, Yaochu Jin, Ran Cheng, 2021, IEEE Transactions on Evolutionary Computation.

Offline data-driven evolutionary optimization based on tri-training

Handing Wang, Pengfei Huang, Yaochu Jin, 2021, Swarm Evol. Comput..

Particle swarm optimization for network-based data classification

Yaochu Jin, Liang Zhao, Ran Cheng, 2019, Neural Networks.

Network structural optimization based on swarm intelligence for highlevel classification

Yaochu Jin, Liang Zhao, Ran Cheng, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 RM-MEDA: A Regularity Model-Based Multiobjective Estimation of

Qingfu Zhang, Aimin Zhou, Yaochu Jin, 2022 .

A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks

Xiangxiang Zeng, Yaochu Jin, Xingyi Zhang, 2020, IEEE Transactions on Cybernetics.

Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems

Witold Pedrycz, Yong Zhang, Yaochu Jin, 2019, IEEE Transactions on Cybernetics.

A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services

Kuangrong Hao, Yaochu Jin, Zhen Yang, 2019, IEEE Transactions on Evolutionary Computation.

A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

Qingfu Zhang, Aimin Zhou, Yaochu Jin, 2014, IEEE Transactions on Cybernetics.

Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat

Xin Yao, Bernhard Sendhoff, Ben Jones, 2010, SAB.

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism

Xin Yao, Bernhard Sendhoff, Ben Jones, 2009, ECAL.

Evolution of Neural Organization in a Hydra-Like Animat

Xin Yao, Bernhard Sendhoff, Ben Jones, 2008, ICONIP.

Generating distinguishable, complete, consistent and compact fuzzy systems using evolutionary algorithms

Yaochu Jin, Yaochu Jin, 2003 .

Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks

Bernhard Sendhoff, Yan Meng, Yaochu Jin, 2009, 2009 IEEE Symposium on Artificial Life.

Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions

Jiangning Song, Lei Wang, Lukasz Kurgan, 2020, Briefings Bioinform..

Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration

Bernhard Sendhoff, Yaochu Jin, Lisa Schramm, 2012, Artificial Life.

Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms

Bernhard Sendhoff, Yaochu Jin, Lisa Schramm, 2010, ALIFE.

Dynamic Links and Evolutionary History in Simulated Gene Regulatory Networks

Bernhard Sendhoff, Yaochu Jin, Till Steiner, 2009 .

A framework for finding robust optimal solutions over time

Xin Yao, Xin Yu, Bernhard Sendhoff, 2013, Memetic Comput..

Surrogate-assisted evolutionary computation: Recent advances and future challenges

Yaochu Jin, Yaochu Jin, 2011, Swarm Evol. Comput..

Structure optimization of neural networks for evolutionary design optimization

Bernhard Sendhoff, Yaochu Jin, Michael Hüsken, 2005, Soft Comput..

Data-Driven Surrogate-Assisted Evolutionary Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

Nature-Inspired Graph Optimization for Dimensionality Reduction

Yaochu Jin, Liang Zhao, Ran Cheng, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts

Yaochu Jin, Qiqi Liu, Kuangrong Hao, 2021, IEEE/CAA Journal of Automatica Sinica.

A Survey of Deep Learning Applications to Autonomous Vehicle Control pdf

Richard Bowden, Yaochu Jin, Saber Fallah, 2019, IEEE Transactions on Intelligent Transportation Systems.

Offline Big or Small Data-Driven Optimization and Applications

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-driven Dynamic Optimization.

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2020 .

Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation

Jürgen Branke, Yaochu Jin, Ingo Paenke, 2006, IEEE Transactions on Evolutionary Computation.

Evolutionary and Swarm Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization

Handing Wang, Yaochu Jin, Yaochu Jin, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A directed search strategy for evolutionary dynamic multiobjective optimization

Yaochu Jin, Yan Wu, Xiaoxiong Liu, 2014, Soft Computing.

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization

Qingfu Zhang, Bernhard Sendhoff, Aimin Zhou, 2007, EMO.

Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times

Markus Olhofer, Sebastian Schmitt, Xilu Wang, 2021, Evolutionary Computation.

A Federated Data-Driven Evolutionary Algorithm

Yaochu Jin, Wenli Du, Jinjin Xu, 2021, Knowl. Based Syst..

Neural network regularization and ensembling using multi-objective evolutionary algorithms

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization

Changhe Li, Ruwang Jiao, Sanyou Zeng, 2019, Inf. Sci..

Surrogate-Assisted Multicriteria Optimization: Complexities, Prospective Solutions, and Business Case

Yaochu Jin, Richard Allmendinger, Jussi Hakanen, 2017 .

Balancing Population- and Individual-Level Adaptation in Changing Environments

Jürgen Branke, Yaochu Jin, Ingo Paenke, 2009, Adapt. Behav..

Evolutionary optimization in uncertain environments-a survey

Jürgen Branke, Yaochu Jin, J. Branke, 2005, IEEE Transactions on Evolutionary Computation.

Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2003, EMO.

Trade-off between Optimality and Robustness: An Evolutionary Multiobjective Approach

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2003 .

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems

John Doherty, Handing Wang, Yaochu Jin, 2017, IEEE Transactions on Cybernetics.

Surrogate-Assisted Evolutionary Optimization of Large Problems

Handing Wang, Yaochu Jin, Tinkle Chugh, 2019, High-Performance Simulation-Based Optimization.

Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study

Yaochu Jin, Chaoli Sun, Guochen Zhang, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Data-Driven Evolutionary Optimization: An Overview and Case Studies

Dan Guo, Kaisa Miettinen, Handing Wang, 2019, IEEE Transactions on Evolutionary Computation.

Garteur AD/AG-52: Surrogate-Based Global Optimization Methods in Preliminary Aerodynamic Design

E. Andrés, E. Iuliano, Yaochu Jin, 2018, Computational Methods in Applied Sciences.

Surrogate-assisted hierarchical particle swarm optimization

Ying Tan, Jianchao Zeng, Haibo Yu, 2018, Inf. Sci..

Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system

Kaisa Miettinen, Yaochu Jin, Tinkle Chugh, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

Nirupam Chakraborti, Tinkle Chugh, Yaochu Jin, 2017 .

Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization

John Doherty, Handing Wang, Yaochu Jin, 2018, 2018 Applied Aerodynamics Conference.

Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times

Markus Olhofer, Yaochu Jin, Sebastian Schmitt, 2021, Knowl. Based Syst..

A repository of real-world datasets for data-driven evolutionary multiobjective optimization

Yaochu Jin, Cheng He, Ye Tian, 2019, Complex & Intelligent Systems.

A repository of real-world datasets for data-driven evolutionary multiobjective optimization

Handing Wang, Ye Tian, Cheng He, 2019, Complex & Intelligent Systems.

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2019, IEEE Transactions on Cybernetics.

Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization

Jie Tian, Ying Tan, Jianchao Zeng, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Feature selection for high-dimensional classification using a competitive swarm optimizer

Yaochu Jin, Ran Cheng, Shenkai Gu, 2018, Soft Comput..

A radial space division based evolutionary algorithm for many-objective optimization

Yaochu Jin, Ye Tian, Linqiang Pan, 2017, Appl. Soft Comput..

A systems approach to evolutionary multiobjective structural optimization and beyond

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2009, IEEE Computational Intelligence Magazine.

A novel paradigm of nonlinear system control with application to robot manipulators

Yaochu Jin, Jingping Jiang, Jing Zhu, 1994 .

Adapting Weighted Aggregation for Multiobjective Evolution Strategies

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2001, EMO.

Augmented windows fuzzy firewall for preventing denial of service attack

David Ball, Yaochu Jin, Nitin Naik, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

PIVODL: Privacy-preserving vertical federated learning over distributed labels pdf

Hangyu Zhu, Kaitai Liang, Yaochu Jin, 2021, IEEE Transactions on Artificial Intelligence.

Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling

Ye Tian, Yaochu Jin, Cheng He, 2020, IEEE Transactions on Cybernetics.

Evolutionary Reinforcement Learning: A Survey

Yaochu Jin, Ran Cheng, Hui Bai, 2023, ArXiv.

A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction

Yanzhang Wang, Xin Ye, Yaochu Jin, 2019, Inf. Sci..

Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2002, GECCO.

A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning

Xiaoyan Sun, Yaochu Jin, Shanshan Chen, 2013, IEEE Transactions on Cybernetics.

Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2004, EvoWorkshops.

Evolutionary Large-Scale Multi-Objective Optimization: A Survey

Ye Tian, Ran Cheng, Langchun Si, 2021, ACM Comput. Surv..

A multi-objective approach to robust optimization over time considering switching cost

Yongsheng Ding, Kuangrong Hao, Yaochu Jin, 2017, Inf. Sci..

Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems

Ying Tan, Jianchao Zeng, Yaochu Jin, 2019, IEEE Transactions on Evolutionary Computation.

A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization

Ye Tian, Handing Wang, Yaochu Jin, 2019, IEEE Transactions on Evolutionary Computation.

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

Ye Tian, Yaochu Jin, Ran Cheng, 2017, IEEE Computational Intelligence Magazine.

Generalizing Surrogate-Assisted Evolutionary Computation

Bernhard Sendhoff, Yaochu Jin, Yew-Soon Ong, 2010, IEEE Transactions on Evolutionary Computation.

Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images

Yaochu Jin, A. Nandi, Tao Lei, 2023, IEEE Transactions on Geoscience and Remote Sensing.

CIS Publication Spotlight [Publication Spotlight]

Hussein A. Abbass, Jonathan M. Garibaldi, Georgios N. Yannakakis, 2018, IEEE Computational Intelligence Magazine.

Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions

Lei Wang, Yaochu Jin, Huaming Chen, 2020, PACBB.

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization

Ye Tian, Yaochu Jin, Ran Cheng, 2015, IEEE Transactions on Evolutionary Computation.

Multiple-Solution Optimization Strategy for Multirobot Task Allocation

MengChu Zhou, Kuangrong Hao, Li Huang, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An improved support vector machine-based diabetic readmission prediction

Yaochu Jin, Dujuan Wang, Yanzhang Wang, 2018, Comput. Methods Programs Biomed..

Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection

Yaochu Jin, Yunqiang Yin, Dujuan Wang, 2019, Appl. Soft Comput..

A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems

Ye Tian, Yaochu Jin, Jianhua Xiao, 2021, IEEE Transactions on Intelligent Transportation Systems.

Evolutionary Reinforcement Learning: A Survey

Yaochu Jin, Ran Cheng, Hui Bai, 2023, Intelligent Computing.

Extracting Interpretable Fuzzy Rules from RBF Networks

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2003, Neural Processing Letters.

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps

Yaochu Jin, Jing Liu, Yaxiong Chi, 2017, BMC Bioinformatics.

Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation

Yaochu Jin, Ataollah Ramezan Shirazi, Yaochu Jin, 2020, IEEE Transactions on Cognitive and Developmental Systems.

Bio-inspired self-organising multi-robot pattern formation: A review

Hyondong Oh, Yaochu Jin, Ataollah Ramezan Shirazi, 2017, Robotics Auton. Syst..

A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation

Yan Meng, Hongliang Guo, Yaochu Jin, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing

Bu-Sung Lee, Bernhard Sendhoff, Yaochu Jin, 2007, Future Gener. Comput. Syst..

Comparing neural networks and Kriging for fitness approximation in evolutionary optimization

Bernhard Sendhoff, Thomas Bäck, Yaochu Jin, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

A mini-review on preference modeling and articulation in multi-objective optimization: current status and challenges

Markus Olhofer, Handing Wang, Yaochu Jin, 2017, Complex & Intelligent Systems.

Automated Selection of Evolutionary Multi-objective Optimization Algorithms

Yaochu Jin, Xingyi Zhang, Tobias Rodemann, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems

Ye Tian, Yaochu Jin, Ran Cheng, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Sampling Reference Points on the Pareto Fronts of Multi-Objective Optimization Problems

Ye Tian, Yaochu Jin, Ran Cheng, 2018 .

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling

Bernhard Sendhoff, Kaname Narukawa, Yaochu Jin, 2015, IEEE Transactions on Evolutionary Computation.

A model-based evolutionary algorithm for bi-objective optimization

Qingfu Zhang, Aimin Zhou, Yaochu Jin, 2005, 2005 IEEE Congress on Evolutionary Computation.

A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

Ye Tian, Yaochu Jin, Ran Cheng, 2018, IEEE Transactions on Evolutionary Computation.

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization

Markus Olhofer, Yaochu Jin, Ran Cheng, 2017, IEEE Transactions on Cybernetics.

A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric

Ye Tian, Yaochu Jin, Ran Cheng, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Voronoi-based estimation of distribution algorithm for multi-objective optimization

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

Ye Tian, Yaochu Jin, Xingyi Zhang, 2015, IEEE Transactions on Evolutionary Computation.

A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization

Ye Tian, Yaochu Jin, Ran Cheng, 2019, IEEE Transactions on Evolutionary Computation.

A benchmark test suite for evolutionary many-objective optimization

Xin Yao, Shengxiang Yang, Ye Tian, 2017, Complex & Intelligent Systems.

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

Yaochu Jin, Dunwei Gong, Yiping Liu, 2017, IEEE Transactions on Cybernetics.

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2016, IEEE Transactions on Evolutionary Computation.

Diversity Assessment in Many-Objective Optimization

Xin Yao, Handing Wang, Yaochu Jin, 2017, IEEE Transactions on Cybernetics.

A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS pdf

Bin Liu, Yaochu Jin, Bin Liu, 2018, ArXiv.

Introduction to Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

A comprehensive survey of fitness approximation in evolutionary computation

Yaochu Jin, Yaochu Jin, 2005, Soft Comput..

A Generic Test Suite for Evolutionary Multifidelity Optimization

John Doherty, Handing Wang, Yaochu Jin, 2018, IEEE Transactions on Evolutionary Computation.

Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization

Handing Wang, Yaochu Jin, Xingguang Peng, 2019, IEEE Transactions on Cybernetics.

Model-based evolutionary algorithms: a short survey

Xin Yao, Yaochu Jin, Ran Cheng, 2018, Complex & Intelligent Systems.

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

Jianchao Zeng, Jinliang Ding, Yaochu Jin, 2017, IEEE Transactions on Evolutionary Computation.

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics pdf

Kay Chen Tan, Ye Tian, Yaochu Jin, 2021, Chinese Journal of Electronics.

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks

Xingyi Zhang, Yaochu Jin, Tobias Rodemann, 2020, IEEE Transactions on Artificial Intelligence.

Pareto analysis of evolutionary and learning systems

Bernhard Sendhoff, Yaochu Jin, Robin Gruna, 2009, Frontiers of Computer Science in China.

Pareto-based Multi-Objective Machine Learning

Yaochu Jin, Yaochu Jin, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

Xin Yao, Changhe Li, Shengxiang Yang, 2008 .

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization

Handing Wang, Yaochu Jin, Cheng He, 2021, IEEE Transactions on Evolutionary Computation.

A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization

Haibo Yu, Yaochu Jin, Hao Wang, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

Ye Tian, Yaochu Jin, Ran Cheng, 2018, IEEE Transactions on Evolutionary Computation.

A two-layer surrogate-assisted particle swarm optimization algorithm

Yang Yu, Jianchao Zeng, Yaochu Jin, 2014, Soft Computing.

A new fitness estimation strategy for particle swarm optimization

Jeng-Shyang Pan, Jianchao Zeng, Yaochu Jin, 2013, Inf. Sci..

A Coevolutionary Framework for Constrained Multiobjective Optimization Problems

Tao Zhang, Yaochu Jin, Ye Tian, 2021, IEEE Transactions on Evolutionary Computation.

Incremental Approximation Models for Constrained Evolutionary Optimization

Yaochu Jin, Sanghoun Oh, Yaochu Jin, 2015 .

Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization

Yaochu Jin, Moongu Jeon, Sanghoun Oh, 2010, IEEE Congress on Evolutionary Computation.

An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization

Yaochu Jin, Guo Yu, Xi Zhang, 2023, Neurocomputing.

A practical tutorial on solving optimization problems via PlatEMO

Yaochu Jin, Xingyi Zhang, Ye Tian, 2023, Neurocomputing.

Action Command Encoding for Surrogate-Assisted Neural Architecture Search

Ye Tian, Shichen Peng, Shangshang Yang, 2022, IEEE Transactions on Cognitive and Developmental Systems.

A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems

Kay Chen Tan, Ye Tian, Yaochu Jin, 2020, IEEE Transactions on Evolutionary Computation.

Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer

Ye Tian, Yaochu Jin, Xingyi Zhang, 2020, IEEE Transactions on Cybernetics.

Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction

Kim-Fung Man, Sam Kwong, Wei Wei, 2005, Fuzzy Sets Syst..

Evolutionary truss layout optimization using the vectorized structure approach

Yaochu Jin, Ayang Xiao, Benli Wang, 2013, 2013 IEEE Congress on Evolutionary Computation.

Trusted Evolutionary Algorithm

Bernhard Sendhoff, Yaochu Jin, Yew-Soon Ong, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Neural Networks for Fitness Approximation in Evolutionary Optimization

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2005 .

Fitness Approximation In Evolutionary Computation - a Survey

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2002, GECCO.

On Evolutionary Optimization with Approximate Fitness Functions

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2000, GECCO.

A new approach to dynamics analysis of genetic algorithms without selection

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2005, 2005 IEEE Congress on Evolutionary Computation.

Evolving heterochrony for cellular differentiation using vector field embryogeny

Bernhard Sendhoff, Yaochu Jin, Till Steiner, 2010, GECCO '10.

Global shape with morphogen gradients and motile polarized cells

Bernhard Sendhoff, Yaochu Jin, Till Steiner, 2009, 2009 IEEE Congress on Evolutionary Computation.

Multi-Objective Machine Learning

Yaochu Jin, Yaochu Jin, 2006, Studies in Computational Intelligence.

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

Yaochu Jin, Xingyi Zhang, K. Tan, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns

Yaochu Jin, Dunwei Gong, Yuyan Han, 2019, IEEE Transactions on Cybernetics.

Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2009 .

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments

Xin Yao, Yang Yu, Zhi-Hua Zhou, 2014, Evolutionary Computation.

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles

John Doherty, Handing Wang, Yaochu Jin, 2019, IEEE Transactions on Evolutionary Computation.

Semi-supervised learning assisted particle swarm optimization of computationally expensive problems

Ying Tan, Yaochu Jin, Chao-Li Sun, 2018, GECCO.

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces

Dan Guo, Tianyou Chai, Jinliang Ding, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles

Bernhard Sendhoff, Yaochu Jin, Yaochu Jin, 2004, GECCO.

Federated Learning on Non-IID Data: A Survey

Hangyu Zhu, Yaochu Jin, Jinjin Xu, 2021, Neurocomputing.

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Yaochu Jin, Y. Chen, Xiao-yan Sun, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling

Feng Liu, Yaochu Jin, Dujuan Wang, 2017, Comput. Oper. Res..

Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm

Jing Liu, Shuai Wang, Yaochu Jin, 2020, IEEE Computational Intelligence Magazine.

Learning structure of sensory inputs with synaptic plasticity leads to interference

Yaochu Jin, Joseph Chrol-Cannon, Yaochu Jin, 2015, Front. Comput. Neurosci..

Multi-Objective Evolutionary Federated Learning

Yaochu Jin, Hangyu Zhu, Yaochu Jin, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Artificial intelligence in recommender systems

Qian Zhang, Yaochu Jin, Jie Lu, 2020, Complex & Intelligent Systems.

From federated learning to federated neural architecture search: a survey

Hangyu Zhu, Yaochu Jin, Haoyu Zhang, 2020, Complex & Intelligent Systems.

Real-Time Federated Evolutionary Neural Architecture Search pdf

Hangyu Zhu, Yaochu Jin, Yaochu Jin, 2020, IEEE Transactions on Evolutionary Computation.

Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms

Kaisa Miettinen, Yaochu Jin, Tinkle Chugh, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Deep Visual Anomaly Detection in Industrial Manufacturing: A Survey

Yaochu Jin, Chengjie Wang, Feng Zheng, 2023 .

Deep Industrial Image Anomaly Detection: A Survey

Yaochu Jin, Chengjie Wang, Feng Zheng, 2023, ArXiv.

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Y. Liu, Yaochu Jin, Jinbao Wang, 2023, ArXiv.

Knowledge incorporation in evolutionary computation

Yaochu Jin, Yaochu Jin, 2005 .

A Survey of Visual Sensory Anomaly Detection

Yaochu Jin, Jinbao Wang, Chengjie Wang, 2022, ArXiv.

Multi‐objective ensemble generation

Yaochu Jin, Ran Cheng, Shenkai Gu, 2015, WIREs Data Mining Knowl. Discov..

An affinity propagation clustering based particle swarm optimizer for dynamic optimization

Jianchang Liu, Yaochu Jin, Fei Li, 2020, Knowl. Based Syst..

Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling

Yaochu Jin, Jonathan Fieldsend, Shufen Qin, 2021, IEEE Transactions on Evolutionary Computation.

On The Dynamics Of Evolutionary Multi-objective Optimization

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2002, GECCO.

Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2005, 2005 IEEE Congress on Evolutionary Computation.

A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition

Licheng Jiao, Ruochen Liu, Yaochu Jin, 2021, Evolutionary Computation.

A dynamic optimization approach to the design of cooperative co-evolutionary algorithms

Yaochu Jin, Kun Liu, Xingguang Peng, 2016, Knowl. Based Syst..

What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?

Yaochu Jin, Jinbao Wang, Feng Zheng, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore

Yaochu Jin, Feng Zheng, Guoyang Xie, 2023, ArXiv.

Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System

Handing Wang, Yaochu Jin, Jan O. Jansen, 2016, IEEE Transactions on Evolutionary Computation.

A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation

Weili Wang, Yaochu Jin, Xuefeng Yan, 2019, Swarm Evol. Comput..

Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

Kaisa Miettinen, Yaochu Jin, Tinkle Chugh, 2019, GECCO.

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization

Markus Olhofer, Yaochu Jin, Ran Cheng, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization

Yaochu Jin, Jianchang Liu, Fei Li, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Benchmark Functions for CEC ’ 2017 Competition on Evolutionary Many-Objective Optimization

Xin Yao, Shengxiang Yang, Ye Tian, 2017 .

Interpretability improvement of RBF-based neurofuzzy systems using regularized learning

Yaochu Jin, Yaochu Jin, 2003 .

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation

Yaochu Jin, Ran Cheng, Beichen Huang, 2023, ArXiv.

An approach to rule-based knowledge extraction

Yaochu Jin, W. von Seelen, B. Sendhoff, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

Decentralized adaptive fuzzy control of robot manipulators

Yaochu Jin, Yaochu Jin, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Knowledge Transfer in Data-Driven Evolutionary Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

Surrogate-Assisted High-Dimensional Evolutionary Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems

Yaochu Jin, Ying Tan, Chao-Li Sun, 2020, PPSN.

A Fast Differential Grouping Algorithm for Large Scale Black-Box Optimization

Zuren Feng, Yaochu Jin, Zhigang Ren, 2019, 1905.12192.

An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation

Yaochu Jin, Zhenping Xie, Yaochu Jin, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Feature selection for high-dimensional classification using a competitive swarm optimizer

Yaochu Jin, Ran Cheng, Yaochu Jin, 2016, Soft Computing.

Demonstrator selection in a social learning particle swarm optimizer

Yaochu Jin, Ran Cheng, Yaochu Jin, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

A multi-swarm evolutionary framework based on a feedback mechanism

Yaochu Jin, Ran Cheng, Chao-Li Sun, 2013, 2013 IEEE Congress on Evolutionary Computation.

Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression

Siwei Ma, Yaochu Jin, Zhijun Fang, 2021, 2021 Data Compression Conference (DCC).

Evolutionary Computation and Big Data: Key Challenges and Future Directions

Bin Li, Bin Liu, Yuhui Shi, 2016, DMBD.

Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding

Jing Liu, Shuai Wang, Yaochu Jin, 2020, IEEE Transactions on Evolutionary Computation.

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems

Handing Wang, Yaochu Jin, Yaochu Jin, 2020, IEEE Transactions on Cybernetics.

Rescheduling Under Disruptions in Manufacturing Systems: Models and Algorithms

Yaochu Jin, Yunqiang Yin, Dujuan Wang, 2020 .

Rescheduling Under Disruptions in Manufacturing Systems

Yunqiang Yin, Dujuan Wang, Yaochu Jin, 2020, Uncertainty and Operations Research.

Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty

Yaochu Jin, Yew-Soon Ong, Meng-Hiot Lim, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

Inverse multi-objective robust evolutionary design

Bu-Sung Lee, Bernhard Sendhoff, Yaochu Jin, 2006, Genetic Programming and Evolvable Machines.

Prediction of convergence dynamics of design performance using differential recurrent neural networks

Bernhard Sendhoff, Yaochu Jin, Yi Cao, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations

John Doherty, Yaochu Jin, Christopher Smith, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Convergence Based Prediction Surrogates for High-lift CFD Optimization

John Doherty, Yaochu Jin, Christopher Smith, 2014 .

Redundancy creates opportunity in developmental representations

Bernhard Sendhoff, Yaochu Jin, Lisa Schramm, 2011, 2011 IEEE Symposium on Artificial Life (ALIFE).

Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection

Bu-Sung Lee, Chiew Tong Lau, Yaochu Jin, 2018, Neurocomputing.

Solving Many-Objective Optimization Problems via Multistage Evolutionary Search

Witold Pedrycz, Ran Cheng, Yaochu Jin, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Evolutionary Optimization of Liquid State Machines for Robust Learning

Jinliang Ding, Yaochu Jin, Yan Zhou, 2019, ISNN.

Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification pdf

Kuangrong Hao, Yaochu Jin, Yan Xiao, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization pdf

Yaochu Jin, Foivos Ntelemis, Spencer A. Thomas, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A proactive scheduling approach to steel rolling process with stochastic machine breakdown

Yaochu Jin, Feng Liu, Du-Juan Wang, 2017, Natural Computing.

Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization

Yaochu Jin, F. Qian, Guo Yu, 2023, Inf. Sci..

High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach

Yang Tang, Yaochu Jin, Wenli Du, 2019, IEEE Transactions on Industrial Informatics.

A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships

Yaochu Jin, Markus Olhofer, Guo Yu, 2020, IEEE Transactions on Evolutionary Computation.

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence

Yaochu Jin, Ran Cheng, Xingyi Zhang, 2018, Inf. Sci..

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63]

Qingfu Zhang, Aimin Zhou, Yaochu Jin, 2008, IEEE Trans. Evol. Comput..

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization

Yaochu Jin, Xilu Wang, Markus Olhofer, 2020, Inf. Sci..

Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system

Yongsheng Ding, Kuangrong Hao, Yaochu Jin, 2017, Soft Comput..

A hybrid instance-intensive workflow scheduling method in private cloud environment

Yaochu Jin, Jia Li, Xin Ye, 2017, Natural Computing.

Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness

Nitin Naik, Yaochu Jin, Paul Jenkins, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence

Ashutosh Tiwari, Tim Watson, Yaochu Jin, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments

Yaochu Jin, Xingguang Peng, Demin Xu, 2023, IEEE Transactions on Evolutionary Computation.

Generalized Multitasking for Evolutionary Optimization of Expensive Problems

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2019, IEEE Transactions on Evolutionary Computation.

References or Preferences – Rethinking Many-objective Evolutionary Optimization

Markus Olhofer, Yaochu Jin, Guo Yu, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Combination of EDA and DE for continuous biobjective optimization

Qingfu Zhang, Bernhard Sendhoff, Aimin Zhou, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

Yaochu Jin, Shengxiang Yang, Yinan Guo, 2022, Complex & Intelligent Systems.

Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems

Sam Kwong, Yaochu Jin, Hanli Wang, 2006, Multi-Objective Machine Learning.

Multi-surrogate multi-tasking optimization of expensive problems

Yaochu Jin, Peng Liao, Chao-Li Sun, 2020, Knowl. Based Syst..

Decision-making and multi-objectivization for cost sensitive robust optimization over time

Kuangrong Hao, Yaochu Jin, Yuanjun Huang, 2020, Knowl. Based Syst..

Robust optimization over time — A new perspective on dynamic optimization problems

Xin Yao, Xin Yu, Yaochu Jin, 2010, IEEE Congress on Evolutionary Computation.

Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement

Yaochu Jin, Yaochu Jin, 2000, IEEE Trans. Fuzzy Syst..

An ensemble of single multiplicative neuron models for probabilistic prediction

Erol Egrioglu, Yaochu Jin, Ufuk Yolcu, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction

Yaochu Jin, Christopher Smith, Yaochu Jin, 2014, Neurocomputing.

Multiple memory stores and operant conditioning: A rationale for memory’s complexity

Yaochu Jin, M. Meeter, Rob Veldkamp, 2009, Brain and Cognition.

Comparative studies on micro heat exchanger optimisation

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis

Bernhard Sendhoff, Yaochu Jin, Tatsuya Okabe, 2003, GECCO.

Agent-based evolutionary approach for interpretable rule-based knowledge extraction

Kim-Fung Man, Sam Kwong, Wei Wei, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Non-dominated sorting on performance indicators for evolutionary many-objective optimization

Jonathan E. Fieldsend, Yaochu Jin, Hao Wang, 2021, Inf. Sci..

Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]

Ye Tian, Miqing Li, Yaochu Jin, 2019, IEEE Computational Intelligence Magazine.

An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy

Dujuan Wang, Yanzhang Wang, Yaochu Jin, 2021, Knowl. Based Syst..

A cellular model for the evolutionary development of lightweight material with an inner structure

Bernhard Sendhoff, Yaochu Jin, Till Steiner, 2008, GECCO '08.

Emergence of feedback in artificial gene regulatory networks

Bernhard Sendhoff, Yaochu Jin, Till Steiner, 2007, 2007 IEEE Congress on Evolutionary Computation.

Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm

Licheng Jiao, Handing Wang, Yaochu Jin, 2020, Appl. Soft Comput..

Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study

Bernhard Sendhoff, Yaochu Jin, Lars Gräning, 2005, ESANN.

Bio-Inspired Self-Organizing Robotic Systems

Yan Meng, Yaochu Jin, Yaochu Jin, 2011, Bio-Inspired Self-Organizing Robotic Systems.

Emergence of robust regulatory motifs from in silico evolution of sustained oscillation

Yan Meng, Yaochu Jin, Yaochu Jin, 2011, Biosyst..

Advanced fuzzy systems design and applications

Yaochu Jin, Yaochu Jin, 2003, Studies in Fuzziness and Soft Computing.

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm

Yaochu Jin, Xingyi Zhang, Ye Tian, 2023, IEEE Transactions on Artificial Intelligence.

Deep Industrial Image Anomaly Detection: A Survey

Yaochu Jin, Chengjie Wang, Feng Zheng, 2023, ArXiv.

Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks pdf

Jia Liu, Yaochu Jin, Yaochu Jin, 2021, Neurocomputing.

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis

Yaochu Jin, Jinbao Wang, Yefeng Zheng, 2022, Neurocomputing.

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

K. Deb, Yaochu Jin, K. Tan, 2022, IEEE Transactions on Evolutionary Computation.

Neural network based fuzzy identification and its application to modeling and control of complex systems

Jing Zhu, Yaochu Jin, Jingping Jiang, 1995, IEEE Trans. Syst. Man Cybern..

Robustness of glycolysis in yeast to internal and external noise.

Bernhard Sendhoff, Barbara Drossel, Yaochu Jin, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Calcium control of triphasic hippocampal STDP

Yaochu Jin, D. Bush, 2012, Journal of Computational Neuroscience.

Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition

Yaochu Jin, Xueming Yan, Zhihang Fang, 2023, ArXiv.

A Graph Neural Network with Negative Message Passing for Graph Coloring

Yaochu Jin, Xueming Yan, Xiangyu Wang, 2023, ArXiv.

Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization

Markus Olhofer, Yaochu Jin, Guo Yu, 2020, IEEE Transactions on Cybernetics.

Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes

Yongsheng Ding, Tao Zhang, Yaochu Jin, 2016, Inf. Sci..

A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect

Feng Liu, Yanzhang Wang, Yaochu Jin, 2015, Knowl. Based Syst..

Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks

Yaochu Jin, Kuangrong Hao, Xinjie Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time

Quan-Ke Pan, Yaochu Jin, Dun-Wei Gong, 2016, Appl. Soft Comput..

Guest editorial: Robust, explainable, and privacy-preserving deep learning

Yaochu Jin, Nian Zhang, Zhigang Zeng, 2023, Knowledge-Based Systems.

Evolution by Adapting Surrogates

Bernhard Sendhoff, Yaochu Jin, Stefan Menzel, 2013, Evolutionary Computation.

> Replace This Line with Your Paper Identification Number (double-click Here to Edit) < 1

Yan Meng, Yaochu Jin, Jun Yin, 2022 .

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis

Yefeng Zheng, Yaochu Jin, Feng Zheng, 2022, ArXiv.

Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions

Yaochu Jin, S. Schmitt, Felix Lanfermann, 2023, ArXiv.

Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition

Yan Meng, Yaochu Jin, Jun Yin, 2011, IEEE Transactions on Neural Networks.

Human activity detection using spiking neural networks regulated by a gene regulatory network

Yan Meng, Yaochu Jin, Jun Yin, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Multi-train: A semi-supervised heterogeneous ensemble classifier

Yaochu Jin, Shenkai Gu, Yaochu Jin, 2017, Neurocomputing.

Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise

Yaochu Jin, Wissam A. Albukhanajer, Johann A. Briffa, 2015, IEEE Transactions on Cybernetics.

A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization

Yaochu Jin, Jing Liu, Shuai Wang, 2021, IEEE Transactions on Evolutionary Computation.

A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design

Bernhard Sendhoff, Yaochu Jin, Yew-Soon Ong, 2012, IEEE Computational Intelligence Magazine.

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Xiaoyan Sun, Yaochu Jin, Yang Chen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Distributed machine learning, optimization and applications

Yaochu Jin, Qingshan Liu, Zhigang Zeng, 2022, Neurocomputing.

Simulating swarm behaviuors for optimisation by learning from neighbours

Yaochu Jin, Ran Cheng, Yaochu Jin, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization

Fei Li, Yaochu Jin, Yuanchao Liu, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem

Yaochu Jin, Shuai Wang, B. Ding, 2023, IEEE Computational Intelligence Magazine.

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2019, IEEE Transactions on Automation Science and Engineering.

Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm

Jing Liu, Yaochu Jin, Shuai Wang, 2019, IEEE Transactions on Cybernetics.

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Y. Liu, Yaochu Jin, Jinbao Wang, 2023, ArXiv.

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore

Yaochu Jin, Feng Zheng, Guoyang Xie, 2023, ICLR.

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks

Kay Chen Tan, Ye Tian, Xingyi Zhang, 2020, IEEE Transactions on Cybernetics.

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

Mengjie Zhang, Bing Xue, Handing Wang, 2020, IEEE Transactions on Evolutionary Computation.

From federated learning to federated neural architecture search: a survey

Yaochu Jin, Haoyu Zhang, Hangyu Zhu, 2021, Complex & Intelligent Systems.

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance

Kuangrong Hao, Ran Cheng, Yaochu Jin, 2020, IEEE Transactions on Evolutionary Computation.

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search pdf

Kuangrong Hao, Haoyu Zhang, Ran Cheng, 2020, ArXiv.

Toward Real-Time Federated Evolutionary Neural Architecture Search

Hangyu Zhu, Yaochu Jin, Yaochu Jin, 2021, Automated Design of Machine Learning and Search Algorithms.

Automated pattern generation for swarm robots using constrained multi-objective genetic programming

Yaochu Jin, Wenji Li, Zhaojun Wang, 2023, Swarm and Evolutionary Computation.

Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots

Hyondong Oh, Yaochu Jin, Yaochu Jin, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators

Yaochu Jin, Spencer Angus Thomas, Yaochu Jin, 2013, EMO.

Combining genetic oscillators and switches using evolutionary algorithms

Yaochu Jin, Spencer Angus Thomas, Yaochu Jin, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment

Yaochu Jin, Jinbao Wang, Yefeng Zheng, 2023, ArXiv.

Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks

Hyondong Oh, Yaochu Jin, Yaochu Jin, 2014, TAROS.

Reduction strategies for hierarchical multi-label classification in protein function prediction

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Yaochu Jin, 2016, BMC Bioinformatics.

Deep Industrial Image Anomaly Detection: A Survey

Yaochu Jin, Chengjie Wang, Feng Zheng, 2023, ArXiv.

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

Yaochu Jin, K. Tan, Ran Cheng, 2019, IEEE Transactions on Cybernetics.

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization

Kay Chen Tan, Jinliang Ding, Yaochu Jin, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios

John Doherty, Handing Wang, Liang Feng, 2021, IEEE Computational Intelligence Magazine.

Morphogenetic Robotics: An Emerging New Field in Developmental Robotics

Yan Meng, Yaochu Jin, Yaochu Jin, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Morphogenetic Robotics: A New Paradigm for Designing Self-Organizing, Self-Reconfigurable and Self-Adaptive Robots

Yan Meng, Yaochu Jin, Yaochu Jin, 2012, Morphogenetic Engineering, Toward Programmable Complex Systems.

An adaptive decomposition-based evolutionary algorithm for many-objective optimization

Dong Han, Yaochu Jin, Wenli Du, 2019, Inf. Sci..

Echo state networks regulated by local intrinsic plasticity rules for regression

Kuangrong Hao, Yaochu Jin, Xinjie Wang, 2019, Neurocomputing.

A morphogenetic approach to flexible and robust shape formation for swarm robotic systems

Yan Meng, Hongliang Guo, Yaochu Jin, 2013, Robotics Auton. Syst..

Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks

Jia Liu, Yaochu Jin, Yaochu Jin, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method pdf

Yuanyuan Yang, Yu Chen, Yaochu Jin, 2019, ArXiv.

Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis

Yaochu Jin, M. Olhofer, W. Du, 2021, IEEE Transactions on Cybernetics.

Generalization Improvement in Multi-Objective Learning

Bernhard Sendhoff, Yaochu Jin, Lars Gräning, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Optimized compressed sensing for communication efficient federated learning

Yaochu Jin, K. Hao, Leming Wu, 2023, Knowl. Based Syst..

Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems

Yaochu Jin, Tobias Rodemann, Qiqi Liu, 2022, Knowl. Based Syst..

An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems

Yaochu Jin, Xiangyu Wang, 2023, GECCO Companion.

Synergies between synaptic and intrinsic plasticity in echo state networks

Yaochu Jin, Kuangrong Hao, Xinjie Wang, 2021, Neurocomputing.

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions

Tianyou Chai, Jinliang Ding, Yaochu Jin, 2020, IEEE Transactions on Evolutionary Computation.

Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning pdf

Hangyu Zhu, Yaochu Jin, Jianting Ning, 2020, Neurocomputing.

Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization

Yuanchao Liu, Jianchang Liu, Yaochu Jin, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation

Markus Olhofer, Yaochu Jin, Ran Cheng, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization

Kay Chen Tan, Ye Tian, Yaochu Jin, 2021, IEEE Transactions on Evolutionary Computation.

Introduction to Machine Learning

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

A Critical Survey of Performance Indices for Multi-Objective Optimisation

Yaochu Jin, B. Sendhoff, T. Okabe, 2003 .

Evolutionary multi-objective optimization of trace transform for invariant feature extraction

Yaochu Jin, Wissam A. Albukhanajer, Johann A. Briffa, 2012, 2012 IEEE Congress on Evolutionary Computation.

A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation

Bernhard Sendhoff, Yaochu Jin, Yew-Soon Ong, 2007, GECCO '07.

Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems

Yaochu Jin, Xin Yao, Bo Yuan, 2023, IEEE Transactions on Evolutionary Computation.

A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization

Yaochu Jin, Shufen Qin, Chaoli Sun, 2023, IEEE Transactions on Evolutionary Computation.

Local Model-Based Pareto Front Estimation for Multiobjective Optimization

Yaochu Jin, Xingyi Zhang, K. Tan, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm

Yanli Yin, Xin Ye, Yaochu Jin, 2017, Knowl. Based Syst..

A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts

Kuangrong Hao, Yaochu Jin, Yicun Hua, 2019, IEEE Transactions on Cybernetics.

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]

Yaochu Jin, Ke Tang, Xingyi Zhang, 2017, IEEE Computational Intelligence Magazine.

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems

Yaochu Jin, Guo Yu, Tobias Rodemann, 2020, IEEE Transactions on Cybernetics.

Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization

John Doherty, Handing Wang, Yaochu Jin, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts

Kaname Narukawa, Yaochu Jin, Ran Cheng, 2015, EMO.

Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization

Yaochu Jin, Xingyi Zhang, Ye Tian, 2023, Information Sciences.

Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion

Xin Yao, Yaochu Jin, Ran Cheng, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO

Ye Tian, Yaochu Jin, Ran Cheng, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model

Yan Meng, Yaochu Jin, Yuyang Zhang, 2011, IEEE Computational Intelligence Magazine.

An improved (μ + λ)-constrained differential evolution for constrained optimization

Yong Wang, Zixing Cai, Yaochu Jin, 2013, Inf. Sci..

Modeling neural plasticity in echo state networks for classification and regression

Yaochu Jin, Mohd-Hanif Yusoff, Joseph Chrol-Cannon, 2016, Inf. Sci..

HIME: Mining and Ensembling Heterogeneous Information for Protein Interaction Predictions

Huaming Chen, Jun Shen, Yaochu Jin, 2020 .

Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization

Ye Tian, Yaochu Jin, Ran Cheng, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A self-adaptive similarity-based fitness approximation for evolutionary optimization

Jie Tian, Yin Tan, Jianchao Zeng, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems

Yan Meng, Yaochu Jin, Yaochu Jin, 2011, Bio-Inspired Self-Organizing Robotic Systems.

Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations

Bernhard Sendhoff, Yaochu Jin, Robin Gruna, 2009, 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM).

A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network

Yaochu Jin, Hongliang Guo, Yan Meng, 2009, Biosyst..

On the Correlation between Reservoir Metrics and Performance for Time Series Classification under the Influence of Synaptic Plasticity

Yaochu Jin, Joseph Chrol-Cannon, Yaochu Jin, 2014, PloS one.

Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm

Yaochu Jin, Ming-cheng Cai, Shuai Wang, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

EEG feature learning with Intrinsic Plasticity based Deep Echo State Network

Adel M. Alimi, Yaochu Jin, Boudour Ammar, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Modeling neural plasticity in echo state networks for time series prediction

Yaochu Jin, Mohd-Hanif Yusoff, Yaochu Jin, 2014, 2014 14th UK Workshop on Computational Intelligence (UKCI).

A Decomposition Method for Both Additively and Non-additively Separable Problems

G. Yen, Yaochu Jin, Yang Tang, 2022, IEEE Transactions on Evolutionary Computation.

Evolutionary Reinforcement Learning: A Survey

Yaochu Jin, Ran Cheng, Hui Bai, 2023, Intelligent Computing.

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation

Yaochu Jin, Ran Cheng, Beichen Huang, 2023, 2301.12457.

Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization

Yaochu Jin, Xilu Wang, 2023, Mathematical and Computational Applications.

Cross-Ball: A new morphogenetic self-reconfigurable modular robot

Bernhard Sendhoff, Yan Meng, Yaochu Jin, 2011, 2011 IEEE International Conference on Robotics and Automation.

On Evolutionary Optimization of Large Problems Using Small Populations

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2005, ICNC.

Morphogenetic Self-Reconfiguration of Modular Robots

Yan Meng, Yaochu Jin, Yaochu Jin, 2011, Bio-Inspired Self-Organizing Robotic Systems.

Finding the Optimal Search Dimension for Evolution Strategies with A Small Population

Yaochu Jin, 2022 .

On the Influence of Phenotype Plasticity on Genotype Diversity

Jürgen Branke, Yaochu Jin, Ingo Paenke, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

Yaochu Jin, Aimin Zhou, Qingfu Zhang, 2008, IEEE Transactions on Evolutionary Computation.

Language model based interactive estimation of distribution algorithm

Xiaoyan Sun, Yang Chen, Yaochu Jin, 2020, Knowl. Based Syst..

A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation

Yaochu Jin, Xi Zhang, Feng Qian, 2023, Neurocomputing.

Agent Based Negotiation for Collaborative Design Decision Making

S. C-Y. Lu, Y. Jin, Yaochu Jin, 2004 .

Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning

Demin Xu, Yaochu Jin, Tonghao Wang, 2021, Memetic Computing.

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Y. Liu, Yaochu Jin, Jinbao Wang, 2023, IEEE Transactions on Cybernetics.

Benchmark Functions for the CEC'2017 Competition on Many-Objective Optimization

Miqing Li, Xin Yao, Ran Cheng, 2017 .

Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence

Yan Meng, Yaochu Jin, Yaochu Jin, 2010, Int. J. Swarm Intell. Res..

An efficient method for online detection of polychronous patterns in spiking neural networks pdf

Yaochu Jin, André Grüning, Joseph Chrol-Cannon, 2017, Neurocomputing.

The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities

Yaochu Jin, André Grüning, Joseph Chrol-Cannon, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Sparse-attentive meta temporal point process for clinical decision support

Yaochu Jin, Xihe Qiu, Xiaoyu Tan, 2022, Neurocomputing.

Multi-robot target entrapment using cooperative hierarchical gene regulatory network

Yaochu Jin, Weidong Bao, Li Ma, 2023, Swarm Evol. Comput..

CIS Publication Spotlight [Publication Spotlight]

Derong Liu, Zhengyou Zhang, Nikhil Pal, 2013, IEEE Computational Intelligence Magazine.

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover

Qingfu Zhang, Bernhard Sendhoff, Aimin Zhou, 2007, GECCO '07.

Deep Industrial Image Anomaly Detection: A Survey

Yaochu Jin, Chengjie Wang, Feng Zheng, 2023, ArXiv.

Artificial intelligence in recommender systems

Yaochu Jin, Qian Zhang, Jie Lu, 2020, Complex & Intelligent Systems.

Multi-directional Prediction Approach for Dynamic Multi-objective Optimization Problems

Gaige Wang, Yaochu Jin, Yong Zhang, 2017 .

An examination of different fitness and novelty based selection methods for the evolution of neural networks

Bernhard Sendhoff, Helge J. Ritter, Yaochu Jin, 2012, Soft Computing.

On Test Functions for Evolutionary Multi-objective Optimization

Bernhard Sendhoff, Markus Olhofer, Yaochu Jin, 2004, PPSN.

Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites

Yaochu Jin, Tao Lei, Shuangming Yang, 2023, Neurocomputing.

A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support

Yaochu Jin, Xiaoyu Tan, Xihe Qiu, 2021, Knowl. Based Syst..

Yaochu Jin, Aimin Zhou, Qingfu Zhang, 2022 .

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks pdf

Kay Chen Tan, Yaochu Jin, Ran Cheng, 2019, ArXiv.

Multi-sensor optimal H∞ fusion filters for delayed nonlinear intelligent systems based on a unified model

Yaochu Jin, Meiqin Liu, Senlin Zhang, 2011, Neural Networks.

A unified computational model of the genetic regulatory networks underlying synaptic, intrinsic and homeostatic plasticity

Yaochu Jin, Daniel Bush, Yaochu Jin, 2011, BMC Neuroscience.

Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats

Bernhard Sendhoff, Yaochu Jin, Lisa Schramm, 2009, ECAL.

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore

Yaochu Jin, Feng Zheng, Guoyang Xie, 2023, International Conference on Learning Representations.

Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis

Yaochu Jin, Lianghao Li, Cheng He, 2024, IEEE Transactions on Evolutionary Computation.

Evolutionary multiobjective optimization via efficient sampling-based offspring generation

Yaochu Jin, Lianghao Li, Ran Cheng, 2023, Complex & Intelligent Systems.

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation pdf

Xiaoyan Sun, Yang Chen, Yaochu Jin, 2019, IEEE Transactions on Neural Networks and Learning Systems.

DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems

Yaochu Jin, Hongliang Guo, Chen Gao, 2023, IEEE Intelligent Transportation Systems Magazine.

Ternary Compression for Communication-Efficient Federated Learning

Yaochu Jin, Wangli He, W. Du, 2020, IEEE Transactions on Neural Networks and Learning Systems.

EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation

Yaochu Jin, Ran Cheng, Beichen Huang, 2023, IEEE Transactions on Evolutionary Computation.

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization

Yaochu Jin, M. Olhofer, B. Sendhoff, 2017, IEEE Transactions on Cybernetics.

Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images

Yaochu Jin, A. Nandi, Tao Lei, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection

Yaochu Jin, A. Nandi, Tao Lei, 2023, IEEE Geoscience and Remote Sensing Letters.

CIS Publication Spotlight [Publication Spotlight]

Julian Togelius, Kay Chen Tan, Haibo He, 2010, IEEE Computational Intelligence Magazine.

Information Maximization Clustering via Multi-View Self-Labelling pdf

Yaochu Jin, Foivos Ntelemis, Spencer A. Thomas, 2021, Knowl. Based Syst..

Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning

Yaochu Jin, Tianyou Chai, Huiting Li, 2024, IEEE Transactions on Emerging Topics in Computational Intelligence.

Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives

Yaochu Jin, M. Olhofer, Xilu Wang, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Surrogate-Assisted Multi-objective Evolutionary Optimization

Handing Wang, Yaochu Jin, Chaoli Sun, 2021, Studies in Computational Intelligence.

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems

Yaochu Jin, Handing Wang, 2020, IEEE Transactions on Cybernetics.

A Multiagent Cooperative Learning System With Evolution of Social Roles

Yaochu Jin, H. Ge, Y. Ong, 2024, IEEE Transactions on Evolutionary Computation.

Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization

Yaochu Jin, Handing Wang, Zhening Liu, 2022, IEEE Transactions on Cybernetics.

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps

Jing Liu, Chen Zhu, Yaochu Jin, 2017, BMC Bioinformatics.

Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms

Yaochu Jin, Handing Wang, Haoran Gu, 2023, 2023 IEEE Congress on Evolutionary Computation (CEC).

Generating multiple reference vectors for a class of many-objective optimization problems with degenerate Pareto fronts

Kuangrong Hao, Yuan Cao, Yaochu Jin, 2020, Complex & Intelligent Systems.

Real-World Applications of Multiobjective Optimization

Yaochu Jin, Heinrich Braun, N. Chakraborti, 2008, Multiobjective Optimization.

Adaptive modelling strategy for continuous multi-objective optimization

Qingfu Zhang, Bernhard Sendhoff, Aimin Zhou, 2007, 2007 IEEE Congress on Evolutionary Computation.

A Survey on Surrogate-assisted Efficient Neural Architecture Search

Yaochu Jin, Shiqing Liu, Haoyu Zhang, 2022, ArXiv.