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B. Y. Qu*（瞿博阳）, J. J. Liang and P. N. Suganthan, “Niching Particle Swarm Optimization with Local Search for Multi-modal Optimization,” Information Sciences, vol.197, pp.131-143, 2012.
B. Y. Qu*（瞿博阳）, J. J. Liang and P. N. Suganthan, “Niching Particle Swarm Optimization with Local Search for Multi-modal Optimization,” Information Sciences, vol.197, pp.131-143, 2012.
 
 
B. Y. Qu*（瞿博阳）, P. N. Suganthan, “Multi-Objective Evolutionary Algorithms based on the Summation of Normalized Objectives and Diversified Selection”, Information Sciences, vol. 180, no. 17, pp. 3170-3181, Sept. 2010.
B. Y. Qu*（瞿博阳）, P. N. Suganthan, “Multi-Objective Evolutionary Algorithms based on the Summation of Normalized Objectives and Diversified Selection”, Information Sciences, vol. 180, no. 17, pp. 3170-3181, Sept. 2010.
 
 
B. Y. Qu, C. Li, J. Liang, L. Yan, K. J. Yu, Y. S. Zhu. A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems[J]. Applied Soft Computing, 2020, 86: 105886.
B. Y. Qu, C. Li, J. Liang, L. Yan, K. J. Yu, Y. S. Zhu. A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems[J]. Applied Soft Computing, 2020, 86: 105886.
 
 
B. Y. Qu, P. N. Suganthan, J. J. Liang. Differential Evolution With Neighborhood Mutation for Multimodal Optimization[J]. IEEE Transactions on Evolutionary Computation, 2012, 16(5):601-614.
B. Y. Qu, P. N. Suganthan, J. J. Liang. Differential Evolution With Neighborhood Mutation for Multimodal Optimization[J]. IEEE Transactions on Evolutionary Computation, 2012, 16(5):601-614.
 
 
B. Y. Qu, P. N. Suganthan, S. Das. A distance-based locally informed particle swarm model for multimodal optimization[J]. IEEE Transactions on Evolutionary Computation, 2013, 17(3): 387-402.
B. Y. Qu, P. N. Suganthan, S. Das. A distance-based locally informed particle swarm model for multimodal optimization[J]. IEEE Transactions on Evolutionary Computation, 2013, 17(3): 387-402.
 
 
C. T. Yue, B. Y. Qu, J. J. Liang. A Multi-objective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multi-objective Problems[J]. IEEE Transactions on Evolutionary Computation, 2017, PP(99):1-1.
C. T. Yue, B. Y. Qu, J. J. Liang. A Multi-objective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multi-objective Problems[J]. IEEE Transactions on Evolutionary Computation, 2017, PP(99):1-1.
 
 
C. T. Yue, B. Y. Qu, K. J. Yu, J. J. Liang, X. D. Li. A Novel Scalable Test Problem Suite for Multimodal Multiobjective Optimization[J]. Swarm and Evolutionary Computation, 2019, 48, 62-71.
C. T. Yue, B. Y. Qu, K. J. Yu, J. J. Liang, X. D. Li. A Novel Scalable Test Problem Suite for Multimodal Multiobjective Optimization[J]. Swarm and Evolutionary Computation, 2019, 48, 62-71.
 
 
C. T. Yue, P. N. Suganthan, J. Liang, B. Y. Qu, K. J. Yu, Y. S. Zhu, Y. Li. Differential evolution using improved crowding distance for multimodal multiobjective optimization[J]. Swarm and Evolutionary Computation, 2021, 62: 100849.
C. T. Yue, P. N. Suganthan, J. Liang, B. Y. Qu, K. J. Yu, Y. S. Zhu, Y. Li. Differential evolution using improved crowding distance for multimodal multiobjective optimization[J]. Swarm and Evolutionary Computation, 2021, 62: 100849.
 
 
Code of LCMVAPR
Code of LCMVAPR
 
 
Codes of SDC and IMTCMO
Codes of SDC and IMTCMO
 
 
ELCEA
ELCEA
 
 
J. J. Liang, A. K. Qin, P. N. Suganthan. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions[J]. IEEE Transactions on Evolutionary Computation, 2006, 10(3):281-295.
J. J. Liang, A. K. Qin, P. N. Suganthan. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions[J]. IEEE Transactions on Evolutionary Computation, 2006, 10(3):281-295.
 
 
J. Liang, W. Xu, C. Yue, K. Yu, H. Song, O. D. Crisalle, B. Qu. Multimodal multiobjective optimization with differential evolution[J]. Swarm and Evolutionary Computation, 2019, 44: 1028-1059.
J. Liang, W. Xu, C. Yue, K. Yu, H. Song, O. D. Crisalle, B. Qu. Multimodal multiobjective optimization with differential evolution[J]. Swarm and Evolutionary Computation, 2019, 44: 1028-1059.
 
 
K. Yu, J. J. Liang, B. Y. Qu, X. Chen, H. Wang. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm[J]. Energy Conversion & Management, 2017, 150:742-753.
K. Yu, J. J. Liang, B. Y. Qu, X. Chen, H. Wang. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm[J]. Energy Conversion & Management, 2017, 150:742-753.
 
 
K. Yu, J. J. Liang, B. Y. Qu, Z. Cheng, H. Wang. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models[J]. Applied Energy, 2018: 408-422.
K. Yu, J. J. Liang, B. Y. Qu, Z. Cheng, H. Wang. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models[J]. Applied Energy, 2018: 408-422.
 
 
KMCEA
KMCEA
 
 
LSCM and IMTCMO-BS
LSCM and IMTCMO-BS
 
 
Liang, J. J. , & Suganthan, P. N. . (2011). Dynamic multi-swarm particle swarm optimizer with harmony search. IEEE Congress on Evolutionary Computation. IEEE.
Liang, J. J. , & Suganthan, P. N. . (2011). Dynamic multi-swarm particle swarm optimizer with harmony search. IEEE Congress on Evolutionary Computation. IEEE.
 
 
Lynn, N. , & Suganthan, P. N. . (2015). Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm and Evolutionary Computation, 24, 11-24.
Lynn, N. , & Suganthan, P. N. . (2015). Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm and Evolutionary Computation, 24, 11-24.
 
 
Lynn, Nandar, Suganthan, & Nagaratnam, P. . (2017). Ensemble particle swarm optimizer. Applied Soft Computing.
Lynn, Nandar, Suganthan, & Nagaratnam, P. . (2017). Ensemble particle swarm optimizer. Applied Soft Computing.
 
 
W. W. Xu, J. J. Liang, C. T. Yue, et al. Multimodal multi-objective differential evolution algorithm for solving nonlinear equations[J]. Application Research of Computers, 2019(5).
W. W. Xu, J. J. Liang, C. T. Yue, et al. Multimodal multi-objective differential evolution algorithm for solving nonlinear equations[J]. Application Research of Computers, 2019(5).
 
 
Y. Hu, J. Wang, J. Liang, K. Yu, H. Song, Q. Guo, C. Yue, Y. Wang. A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm[J]. Science China Information Sciences, 2019, 62(7): 70206.
Y. Hu, J. Wang, J. Liang, K. Yu, H. Song, Q. Guo, C. Yue, Y. Wang. A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm[J]. Science China Information Sciences, 2019, 62(7): 70206.
 
 
Y. S. Zhu, B. H. Qiao, Y. Dong, B. Y. Qu, D. Y. Wu Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition[J]. IEEJ Transactions on Electrical & Electronic Engineering, 2019, 14(9).1323-1333.
Y. S. Zhu, B. H. Qiao, Y. Dong, B. Y. Qu, D. Y. Wu Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition[J]. IEEJ Transactions on Electrical & Electronic Engineering, 2019, 14(9).1323-1333.
 
 
Zhao, S. Z., & Suganthan, P. N. (2011). Two-lbests based multi-objective particle swarm optimizer. Engineering Optimization, 43(1), 1-17.
Zhao, S. Z., & Suganthan, P. N. (2011). Two-lbests based multi-objective particle swarm optimizer. Engineering Optimization, 43(1), 1-17.
 
 
2011-Eng-Opt-Ens-Const-MODE.rar
2011-Eng-Opt-Ens-Const-MODE.rar
 
 
2023-Qiao-A self-DBEMTO--IEEE TETCI.zip
2023-Qiao-A self-DBEMTO--IEEE TETCI.zip
 
 
EMCMO.zip
EMCMO.zip
 
 
MMOHEA.zip
MMOHEA.zip
 
 
MMOPIO code（胡毅）.rar
MMOPIO code（胡毅）.rar
 
 
README.md
README.md
 
 
SDC
SDC
 
 

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