B. Qu

发表

Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods

P. Suganthan, B. Qu, 2011 .

OPTIMAL SYNTHESIS OF LINEAR ANTENNA AR- RAYS WITH MULTI-OBJECTIVE DIFFERENTIAL EVO- LUTION

B. Qu, S. Pal, Y. Qu, 2010 .

Comparison of Three Different Curves Used in Path Planning Problems Based on Particle Swarm Optimizer

B. Qu, Jing Liang, H. Song, 2014 .

Differential evolution using improved crowding distance for multimodal multiobjective optimization

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

A Multimodal Multiobjective Genetic Algorithm for Feature Selection

B. Qu, Junting Yang, C. Yue, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism

B. Qu, Kunjie Yu, Jing Liang, 2022, Knowl. Based Syst..

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).

Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection

B. Qu, Hongyu Lin, Weifeng Guo, 2022, 2022 International Conference on Advanced Robotics and Mechatronics (ICARM).

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

B. Qu, C. Yue, Jing Liang, 2020, Natural Computing.

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

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

Manifold clustering-based prediction for dynamic multiobjective optimization

B. Qu, Shengxiang Yang, Dunwei Gong, 2023, Swarm Evol. Comput..

Multiobjective evolutionary algorithms: A survey of the state of the art

Qingfu Zhang, Aimin Zhou, Ponnuthurai N. Suganthan, 2011, Swarm Evol. Comput..

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..

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..

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

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

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

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

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.

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

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

Multi-objective economic emission dispatch considering wind power using evolutionary algorithm based on decomposition

Jie Wang, Boyang Qu, Yongsheng Zhu, 2014 .

Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power

Ponnuthurai Nagaratnam Suganthan, Partha Biswas, Gehan A. J. Amaratunga, 2018 .

Multi objective evolutionary programming to solve environmental economic dispatch problem

Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, B. K. Panigrahi, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Constrained multi-objective optimization algorithm with diversity enhanced differential evolution

Ponnuthurai N. Suganthan, Bo-Yang Qu, P. Suganthan, 2010, IEEE Congress on Evolutionary Computation.

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.

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

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

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.

Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art

Ponnuthurai N. Suganthan, Swagatam Das, Bo-Yang Qu, 2011, Swarm Evol. Comput..

Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization

Ponnuthurai N. Suganthan, Bo-Yang Qu, Pushpan Gouthanan, 2010, SEMCCO.

Modified species-based differential evolution with self-adaptive radius for multi-modal optimization

P. N. Suganthan, P. Suganthan, B. Qu, 2010, International Conference on Computational Problem-Solving.

Current position-based Fitness Euclidean-distance Ratio Particle Swarm Optimizer for multi-modal optimization

Ponnuthurai N. Suganthan, Bo-Yang Qu, Shi-Zheng Zhao, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Novel multimodal problems and differential evolution with ensemble of restricted tournament selection

Ponnuthurai N. Suganthan, Bo-Yang Qu, P. Suganthan, 2010, IEEE Congress on Evolutionary Computation.

Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

Ponnuthurai Nagaratnam Suganthan, Jing Liang, Boyang Qu, 2014 .

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 .

A decomposition-based archiving approach for multi-objective evolutionary optimization

Jianyong Sun, Dun-Wei Gong, Yong Zhang, 2018, Inf. Sci..

Large-Scale Portfolio Optimization Using Multiobjective Evolutionary Algorithms and Preselection Methods

Ponnuthurai Nagaratnam Suganthan, P. Suganthan, B. Qu, 2017 .

Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization

Caitong Yue, Boyang Qu, Kangjia Qiao, 2021, Knowl. Based Syst..

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

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

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).

Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems

Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Bo-Yang Qu, 2009, 2009 IEEE Congress on Evolutionary Computation.

An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

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

LINEAR ANTENNA ARRAY SYNTHESIS WITH CONSTRAINED MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION

Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Boyang Qu, 2010, Progress In Electromagnetics Research B.

Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster

Ponnuthurai N. Suganthan, Bo-Yang Qu, P. Suganthan, 2009, 2009 IEEE Congress 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).

Strategy Adaptative Memetic Crowding differential evolution for multimodal optimization

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

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

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

Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection

Ponnuthurai N. Suganthan, Bo-Yang Qu, P. Suganthan, 2010, Inf. Sci..

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 Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization

Ponnuthurai N. Suganthan, Swagatam Das, Bo-Yang Qu, 2013, IEEE Transactions on Evolutionary Computation.

Differential Evolution With Neighborhood Mutation for Multimodal Optimization

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

Problem Definitions and Evaluation Criteria for CEC 2015 Special Session on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization

Ponnuthurai Nagaratnam Suganthan, B. Y. Qu, J. J. Liang, 2015 .

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..

Multimodal multiobjective optimization with differential evolution

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

Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition

Dongya Wu, Boyang Qu, Baihao Qiao, 2019, IEEJ Transactions on Electrical and Electronic Engineering.

A novel multiobjective optimization algorithm for sparse signal reconstruction

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

Multi-objective differential evolution with diversity enhancement

Ponnuthurai N. Suganthan, Bo-Yang Qu, P. Suganthan, 2010, Journal of Zhejiang University SCIENCE C.

Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems

Zhihui Li, Caitong Yue, Zhigang Shang, 2019, Swarm Evol. Comput..

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..

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.

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.

A hybrid particle swarm optimization algorithm for high-dimensional problems

Muhammad Khurram Khan, Dongli Jia, Boyang Qu, 2011, Comput. Ind. Eng..

Bio-inspired Computing: Theories and Applications: 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part II

Krishna M. Sivalingam, Alfredo Cuzzocrea, Simone Diniz Junqueira Barbosa, 2020, BIC-TA.

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.

Differential evolution with rankings-based fitness function for constrained optimization problems

Boyang Qu, Kangjia Qiao, Jing Liang, 2021, Appl. Soft Comput..

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

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

Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

Jing Liang, Kunjie Yu, Boyang Qu, 2018, Applied Energy.

Performance Analysis on Knee Point Selection Methods for Multi-Objective Sparse Optimization Problems

B. Y. Qu, Z. H. Li, J. J. Liang, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective Brainstorm Optimization Algorithm for Sparse Optimization

P. Wang, B. Y. Qu, Z. H. Li, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

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.

A Survey on Evolutionary Constrained Multiobjective Optimization

B. Qu, K. Tan, C. Yue, 2023, IEEE Transactions on Evolutionary Computation.

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 .

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

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

Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization

B. Qu, Weifeng Guo, C. Yue, 2022, IEEE Transactions on Cybernetics.

A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm

B. Qu, Yinan Guo, Minghui Wang, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms

B. Qu, C. Yue, Kunjie Yu, 2023, IEEE Transactions on Evolutionary Computation.

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization

B. Qu, K. Tan, Hongyu Lin, 2023, IEEE Transactions on Evolutionary Computation.

Differential Evolution with Level-Based Learning Mechanism

B. Qu, C. Yue, Kunjie Yu, 2022, Complex System Modeling and Simulation.

ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search

B. Qu, Kunjie Yu, Li Yan, 2023, Applied Soft Computing.

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).

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

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

A Niching Multi-objective Harmony Search Algorithm for Multimodal Multi-objective Problems

B. Y. Qu, G. S. Li, Q. Q. Guo, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance

Li Yan, Ponnuthurai Nagaratnam Suganthan, Yongsheng Zhu, 2019, Science China Information Sciences.

Dynamic Power Dispatch Considering Electric Vehicles and Wind Power Using Decomposition Based Multi-Objective Evolutionary Algorithm

Ling Wang, Yongsheng Zhu, Boyang Qu, 2017 .

MOPSO-Based CNN for Keyword Selection on Google Ads

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

A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification

B. Qu, Kunjie Yu, Ling Wang, 2023, Inf. Sci..

Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization

B. Qu, Kunjie Yu, Li Yan, 2023, IEEE Transactions on Evolutionary Computation.

Multi-objective Comprehensive Learning Particle Swarm Optimization based on summation of normalized objectives and diversified selection

B. Qu, Hui Song, B. Zheng, 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

Multiobjective Particle Swarm optimizer with dynamic epsilon-dominance sorting

Ponnuthurai N. Suganthan, Bo-Yang Qu, Shi-Zheng Zhao, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

P. Suganthan, B. Qu, Jing-Chang Liang, 2014 .

A Performance Enhanced Niching Multi-objective Bat algorithm for Multimodal Multi-objective Problems

B. Y. Qu, G. S. Li, L. Yan, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).