Jing J. Liang

发表

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, 2006, IEEE Transactions on Evolutionary Computation.

Hybrid Bacterial Foraging Algorithm for Data Clustering

Jing J. Liang, Ben Niu, Qiqi Duan, 2013, IDEAL.

Differential Evolution Based on Fitness Euclidean-Distance Ratio for Multimodal Optimization

Jing J. Liang, Bo-Yang Qu, Xiaobo Mao, 2012, ICIC.

Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization

Jing J. Liang, Ben Niu, Dongyun Wang, 2014, Neurocomputing.

Evaluation of Comprehensive Learning Particle Swarm Optimizer

Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, 2004, ICONIP.

A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem

Jing J. Liang, Mehmet Fatih Tasgetiren, Quan-Ke Pan, 2011, Expert Syst. Appl..

Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems

Jing J. Liang, Ponnuthurai N. Suganthan, Vicky Ling Huang, 2006, Int. J. Intell. Syst..

Novel composition test functions for numerical global optimization

Jing J. Liang, Kalyanmoy Deb, Ponnuthurai N. Suganthan, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem

Jing J. Liang, Ben Niu, Qiang Lu, 2016, International Journal of Bio-Inspired Computation (IJBIC).

Differential evolution with dynamic constraint-handling mechanism

Zhigang Shang, Zhihui Li, Jing J. Liang, 2010, IEEE Congress on Evolutionary Computation.

A self-adaptive global best harmony search algorithm for continuous optimization problems

Jing J. Liang, Mehmet Fatih Tasgetiren, Quan-Ke Pan, 2010, Appl. Math. Comput..

An improved differential evolution for constrained optimization with dynamic constraint-handling mechanism

Zhigang Shang, Zhihui Li, Jing J. Liang, 2012, 2012 IEEE Congress on Evolutionary Computation.

A Hybrid Discrete Harmony Search Algorithm for blocking flow shop Scheduling

Jing J. Liang, Quan-Ke Pan, Junqing Li, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Niching particle swarm optimization with local search for multi-modal optimization

Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, 2012, Inf. Sci..

Strategy Adaptative Memetic Crowding differential evolution for multimodal optimization

Jing J. Liang, Ben Niu, Bo-Yang Qu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning

Jing J. Liang, Ponnuthurai N. Suganthan, P. Suganthan, 2006, SEAL.

Ensemble of Clearing Differential Evolution for Multi-modal Optimization

Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, 2012, ICSI.

Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization

Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, 2011, ICIC.

Large-scale portfolio optimization using multiobjective dynamic mutli-swarm particle swarm optimizer

Jing J. Liang, Bo-Yang Qu, B. Qu, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism

Jing J. Liang, Ponnuthurai N. Suganthan, P. Suganthan, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Differential Evolution strategy based on the constraint of fitness values classification

Zhigang Shang, Zhihui Li, Jing J. Liang, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization

Jing J. Liang, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Tabu search algorithm for solving No-idle permutation Flow Shop Scheduling Problem

Jing J. Liang, Quan-Ke Pan, Junqing Li, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Dynamic multi-swarm particle swarm optimizer with local search

Jing J. Liang, Ponnuthurai N. Suganthan, P. Suganthan, 2005, 2005 IEEE Congress on Evolutionary Computation.

Using Dynamic Multi-Swarm Particle Swarm Optimizer to Improve the Image Sparse Decomposition Based on Matching Pursuit

Jing J. Liang, Ben Niu, Chen Chen, 2013, ICIC.

Object Tracking Based on Extended SURF and Particle Filter

Jing J. Liang, Ben Niu, Xiaobo Mao, 2013, ICIC.

Feature Selection based on manifold-learning with dynamic constraint handling differential evolution

Zhigang Shang, Zhihui Li, Jing J. Liang, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Path Planning Based on Dynamic Multi-Swarm Particle Swarm Optimizer with Crossover

Jing J. Liang, Hui Song, Bo-Yang Qu, 2012, ICIC.

Elite Multi-Group Differential Evolution

Jing J. Liang, Ben Niu, Bo-Yang Qu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Multimodal multiobjective optimization with differential evolution

Jing J. Liang, Hui Song, Weiwei Xu, 2019, Swarm Evol. Comput..

Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems

Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Ensemble Learning Based on Multimodal Multiobjective Optimization

Jing J. Liang, Yi Hu, Kunjie Yu, 2019, BIC-TA.

Mutation Strategy Selection Based on Fitness Landscape Analysis: A Preliminary Study

Jing J. Liang, Yi Hu, Kunjie Yu, 2019, BIC-TA.

Performance Evaluation of Multiagent Genetic Algorithm

Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, 2006, Natural Computing.

Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique

Jing J. Liang, Hui Song, Bo-Yang Qu, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Differential Evolution With Neighborhood Mutation for Multimodal Optimization

Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, 2012, IEEE Transactions on Evolutionary Computation.

A new generalized LVQ algorithm via harmonic to minimum distance measure transition

Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Multi-swarm Particle Swarm Optimization with a Center Learning Strategy

Jing J. Liang, Ben Niu, Lijing Tan, 2013, ICSI.

Real Coded Feature Selection Integrated with Self-adaptive Differential Evolution Algorithm

Zhigang Shang, Zhihui Li, Jing J. Liang, 2012, ICIC.

Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting

Jing J. Liang, Wei Liu, A. Kai Qin, 2014, ICIC.

Fully Learned Multi-swarm Particle Swarm Optimization

Jing J. Liang, Ben Niu, Lijing Tan, 2014, ICSI.

A Dynamic Multi-swarm Particle Swarm Optimizer for blocking flow shop scheduling

Jing J. Liang, Quan-Ke Pan, Tiejun Chen, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

An improved harmony search algorithm for multi-dimensional function optimization problem

Jing J. Liang, Quan-Ke Pan, Wen-Juan Ren, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Performance evaluation of dynamic multi-swarm particle swarm optimizer with different constraint handling methods on path planning problems

Jing J. Liang, Hui Song, Bo-Yang Qu, 2013, 2013 IEEE Workshop on Memetic Computing (MC).

Dynamic multi-swarm particle swarm optimizer

Jing J. Liang, Ponnuthurai N. Suganthan, P. Suganthan, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm

Jing J. Liang, Z. Y. Wang, Ponnuthurai N. Suganthan, 2016, Inf. Sci..

Two-hidden-layer extreme learning machine for regression and classification

Jing J. Liang, A. Kai Qin, Bo-Yang Qu, 2016, Neurocomputing.

Particle swarm optimization algorithms with novel learning strategies

Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Multiobjective Dynamic Multi-Swarm Particle Swarm Optimization for Environmental/Economic Dispatch Problem

Jing J. Liang, Bo-Yang Qu, Tiejun Chen, 2012, ICIC.

Coevolutionary Comprehensive Learning Particle Swarm Optimizer

Zhigang Shang, Zhihui Li, Jing J. Liang, 2010, IEEE Congress on Evolutionary Computation.

Neural Network Based on Dynamic Multi-swarm Particle Swarm Optimizer for Ultra-Short-Term Load Forecasting

Jing J. Liang, Wei Liu, A. Kai Qin, 2014, ICSI.

Differential evolution using improved crowding distance for multimodal multiobjective optimization

Jing J. Liang, Ponnuthurai N. Suganthan, Caitong Yue, 2021, Swarm Evol. Comput..

Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

Jing J. Liang, P. N. Suganthan, Ponnuthurai Nagaratnam Suganthan, 2005 .

Effective hybrid discrete artificial bee colony algorithms for the total flowtime minimization in the blocking flowshop problem

Jing J. Liang, Jun-qing Li, Q. Pan, 2013 .

Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

Jing J. Liang, Carlos A. Coello Coello, Maurice Clerc, 2006 .

Improvement of Grayscale Image Segmentation Based on PSO Algorithm

Jing J. Liang, Guangyao Li, Liping Zheng, 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis

Jing J. Liang, Xiangtian Yu, Tao Zeng, 2021, PLoS Comput. Biol..

Application of particle swarm optimization method to incoherent scatter radar measurement of ionosphere parameters

Jing J. Liang, Qihou H. Zhou, Li-Li Wu, 2015 .

Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients

Jing J. Liang, Tao Zeng, Luonan Chen, 2021, Nucleic acids research.

A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems

Jing J. Liang, Yi Hu, Zhimeng Li, 2021, Swarm Evol. Comput..

A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

Jing J. Liang, Jing Liang, Boyang Qu, 2018, IEEE Transactions on Evolutionary Computation.

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method

Jing J. Liang, P. N. Suganthan, Y. S. Zhu, 2017, Natural Computing.

A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems

Jing J. Liang, Ponnuthurai N. Suganthan, B. Y. Qu, 2018, Swarm Evol. Comput..

Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant

Jing J. Liang, Guanlin Chen, Jing Liang, 2020, Memetic Computing.

Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models

Jing J. Liang, Zhimeng Li, Kunjie Yu, 2020 .

A Knee Point Based NSGA-II Multi-objective Evolutionary Algorithm

Jing J. Liang, Zhimeng Li, Kunjie Yu, 2019, BIC-TA.

Novel Local Particle Swarm Optimizer for Multi-modal Optimization

Jing J. Liang, Lei Yang, Junming Xiao, 2016, ICSI.

Evolutionary multi-task optimization for parameters extraction of photovoltaic models

Jing J. Liang, Guanlin Chen, Kunjie Yu, 2020 .

A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

Xu Chen, Jing J. Liang, Kunjie Yu, 2019, Applied Energy.

Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution

Jing J. Liang, Ke Li, Jing Liang, 2020 .

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

Xu Chen, Jing J. Liang, Kunjie Yu, 2017 .

Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms

Jing J. Liang, Mike Preuss, Eckart Zitzler, 2007 .

Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization

Jing J. Liang, Jing Liang, Kunjie Yu, 2021, Swarm Evol. Comput..

Design of Yagi-Uda antennas using comprehensive learning particle swarm optimisation

Jing J. Liang, Ponnuthurai Nagaratnam Suganthan, Arokiaswami Alphones, 2005 .

An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

Jing J. Liang, B. Qu, C. Yue, 2022, IEEE Transactions on Evolutionary Computation.

Novel benchmark functions for continuous multimodal optimization with comparative results

Jing J. Liang, Z. Y. Wang, Ponnuthurai N. Suganthan, 2016, Swarm Evol. Comput..

Multimodal multi-objective optimization: A preliminary study

Jing J. Liang, B. Y. Qu, J. J. Liang, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A hybrid particle swarm optimization algorithm for bi-criteria flexible job-shop scheduling problem

Jing J. Liang, Liping Zheng, Jing Liang, 2010, 2010 Chinese Control and Decision Conference.

A grid-guided particle swarm optimizer for multimodal multi-objective problems

Jing J. Liang, B. Qu, O. Crisalle, 2022, Appl. Soft Comput..

PSO-based CNN for Keyword Selection on Google Ads

Jing J. Liang, J. J. Liang, H. T. Yang, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty

Jing J. Liang, Quan-Ke Pan, Jing Liang, 2010, ICSI.

Distributed coordination control strategy for multiple residential solar PV systems in distribution networks

Jing J. Liang, Jikai Si, Gao Jinfeng, 2020 .

A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models

Jing J. Liang, J. J. Liang, B. Y. Qu, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems

Jing J. Liang, Quan-Ke Pan, Jing Liang, 2012, Asia Pac. J. Oper. Res..

Distributed Event-Triggered Secondary Control for Economic Dispatch and Frequency Restoration Control of Droop-Controlled AC Microgrids

Jing J. Liang, Shuhui Li, Jikai Si, 2020, IEEE Transactions on Sustainable Energy.

Research on the ensemble feature selection algorithm based on multimodal optimisation techniques

Jing J. Liang, Jing Liang, Yun peng Wei, 2021, Int. J. Bio Inspired Comput..

A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems

Jing J. Liang, Chao Li, Yongsheng Zhu, 2020, Appl. Soft Comput..

Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution

Jing J. Liang, Caitong Yue, Jing Liang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A novel scalable test problem suite for multimodal multiobjective optimization

Jing J. Liang, Xiaodong Li, Kunjie Yu, 2019, Swarm Evol. Comput..

Multi-parameters optimization for electromagnetic acoustic transducers using surrogate-assisted particle swarm optimizer

Jing J. Liang, Zhile Yang, Kai Zhao, 2021 .

A novel multiobjective optimization algorithm for sparse signal reconstruction

Jing J. Liang, Yongsheng Zhu, Oscar D. Crisalle, 2020, Signal Process..

An improved brain storm optimisation algorithm for energy-efficient train operation problem

Jing J. Liang, Ponnuthurai N. Suganthan, Caitong Yue, 2021, Int. J. Bio Inspired Comput..

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

Jing J. Liang, P. N. Suganthan, A. K. Qin, 2006, IEEE Transactions on Evolutionary Computation.

Parameter extraction of the photovoltaic model via an improved composite differential evolution

Jing J. Liang, B. Qu, C. Yue, 2020, 2020 Chinese Automation Congress (CAC).

Multivariant Optimization Algorithm with Bimodal-Gauss

Jing J. Liang, Jing Liang, Boyang Qu, 2017, SEAL.

Routing algorithm based on SPSO

Jing J. Liang, Jing Liang, Caitong Yue, 2017, 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem

Jing J. Liang, Ben Niu, Qiang Lu, 2016, Int. J. Bio Inspired Comput..

Multimodal Multiobjective Optimization in Feature Selection

Jing J. Liang, J. J. Liang, B. Y. Qu, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A Self-organizing Multi-objective Particle Swarm Optimization Algorithm for Multimodal Multi-objective Problems

Jing J. Liang, Jing Liang, Qianqian Guo, 2018, ICSI.

Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification

Jing J. Liang, Caitong Yue, Hui Song, 2020, Natural Computing.

Two-Stage Decomposition Method Based on Cooperation Coevolution for Feature Selection on High-Dimensional Classification

Jing J. Liang, Hui Song, Yi Hu, 2019, IEEE Access.

Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning

Jing J. Liang, Jing Liang, Boyang Qu, 2021 .

A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization

Jing J. Liang, Gary G. Yen, Guoqing Li, 2019, Swarm Evol. Comput..

Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution

Jing J. Liang, Peng Wang, Yachao Wang, 2019, Memetic Computing.

Meta-heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem (TSP)

Jing J. Liang, Yi Hu, Usman Ashraf, 2019, BIC-TA.

MOPSO-Based CNN for Keyword Selection on Google Ads

Jing J. Liang, Jing Liang, Caitong Yue, 2019, IEEE Access.

Forest Species Classification of UAV Hyperspectral Image Using Deep Learning

Jing J. Liang, Pengshuai Li, Hui Zhao, 2020, 2020 Chinese Automation Congress (CAC).

Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization

Jing J. Liang, P. Suganthan, M. Tasgetiren, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).