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B. Y. Qu
B. Y. Qu
Zhongyuan University of Technology
Verified email at zut.edu.cn
Title
Cited by
Cited by
Year
Multiobjective evolutionary algorithms: A survey of the state of the art
A Zhou, BY Qu, H Li, SZ Zhao, PN Suganthan, Q Zhang
Swarm and evolutionary computation 1 (1), 32-49, 2011
20982011
Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization
JJ Liang, BY Qu, PN Suganthan
Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China …, 2013
16572013
Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization
JJ Liang, BY Qu, PN Suganthan, AG Hernández-Díaz
Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou …, 2013
9292013
Differential evolution with neighborhood mutation for multimodal optimization
BY Qu, PN Suganthan, JJ Liang
IEEE transactions on evolutionary computation 16 (5), 601-614, 2012
3612012
Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
K Yu, JJ Liang, BY Qu, X Chen, H Wang
Energy Conversion and Management 150, 742-753, 2017
3592017
A distance-based locally informed particle swarm model for multimodal optimization
BY Qu, PN Suganthan, S Das
IEEE Transactions on Evolutionary Computation 17 (3), 387-402, 2012
3452012
Real-parameter evolutionary multimodal optimization—A survey of the state-of-the-art
S Das, S Maity, BY Qu, PN Suganthan
Swarm and Evolutionary Computation 1 (2), 71-88, 2011
3122011
Problem definitions and evaluation criteria for the CEC 2015 competition on learning-based real-parameter single objective optimization
JJ Liang, BY Qu, PN Suganthan, Q Chen
Technical Report201411A, Computational Intelligence Laboratory, Zhengzhou …, 2014
3092014
A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems
C Yue, B Qu, J Liang
IEEE Transactions on Evolutionary Computation 22 (5), 805-817, 2017
2702017
Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective bound constrained real-parameter numerical optimization
NH Awad, MZ Ali, JJ Liang, BY Qu, PN Suganthan
Technical report, 1-34, 2016
2642016
A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
K Yu, B Qu, C Yue, S Ge, X Chen, J Liang
Applied Energy 237, 241-257, 2019
2572019
Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
K Yu, JJ Liang, BY Qu, Z Cheng, H Wang
Applied energy 226, 408-422, 2018
2242018
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems
BY Qu, YS Zhu, YC Jiao, MY Wu, PN Suganthan, JJ Liang
Swarm and Evolutionary Computation 38, 1-11, 2018
1982018
Niching particle swarm optimization with local search for multi-modal optimization
BY Qu, JJ Liang, PN Suganthan
Information Sciences 197, 131-143, 2012
1862012
Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power
PP Biswas, PN Suganthan, BY Qu, GAJ Amaratunga
Energy 150, 1039-1057, 2018
1612018
Multimodal multi-objective optimization: A preliminary study
JJ Liang, CT Yue, BY Qu
2016 IEEE Congress on Evolutionary Computation (CEC), 2454-2461, 2016
1602016
Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods
BY Qu, PN Suganthan
Engineering Optimization 43 (4), 403-416, 2011
1592011
Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection
BY Qu, PN Suganthan
Information sciences 180 (17), 3170-3181, 2010
1342010
Multimodal multiobjective optimization with differential evolution
J Liang, W Xu, C Yue, K Yu, H Song, OD Crisalle, B Qu
Swarm and evolutionary computation 44, 1028-1059, 2019
1282019
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm
BY Qu, JJ Liang, YS Zhu, ZY Wang, PN Suganthan
Information Sciences 351, 48-66, 2016
1262016
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