| Comprehensive learning particle swarm optimizer for global optimization of multimodal functions JJ Liang, AK Qin, PN Suganthan, S Baskar IEEE transactions on evolutionary computation 10 (3), 281-295, 2006 | 4256 | 2006 |
| Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization PN Suganthan, N Hansen, JJ Liang, K Deb, YP Chen, A Auger, S Tiwari KanGAL Report 2005005, 2005 | 2892 | 2005 |
| 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 Technical Report 201311, Computational Intelligence Laboratory, Zhengzhou …, 2013 | 2138 | 2013 |
| 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 | 1103 | 2013 |
| Problem definitions and evaluation criteria for the CEC 2006 special session on constrained real-parameter optimization JJ Liang, TP Runarsson, E Mezura-Montes, M Clerc, PN Suganthan, ... Nangyang Technological University, Singapore, Tech. Rep, 2006 | 847 | 2006 |
| Dynamic multi-swarm particle swarm optimizer JJ Liang, PN Suganthan Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE, 124-129, 2005 | 722 | 2005 |
| Novel composition test functions for numerical global optimization JJ Liang, PN Suganthan, K Deb Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005., 68-75, 2005 | 590 | 2005 |
| 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 | 508 | 2017 |
| A self-adaptive global best harmony search algorithm for continuous optimization problems QK Pan, PN Suganthan, MF Tasgetiren, JJ Liang Applied Mathematics and Computation 216 (3), 830-848, 2010 | 485 | 2010 |
| 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 | 447 | 2017 |
| Differential evolution with neighborhood mutation for multimodal optimization BY Qu, PN Suganthan, JJ Liang IEEE transactions on evolutionary computation 16 (5), 601-614, 2012 | 438 | 2012 |
| 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 | 391 | 2019 |
| 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 | 386 | 2016 |
| 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 | 367 | 2014 |
| Dynamic multi-swarm particle swarm optimizer with local search JJ Liang, PN Suganthan 2005 IEEE congress on evolutionary computation 1, 522-528, 2005 | 350 | 2005 |
| 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 | 346 | 2018 |
| Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization SZ Zhao, JJ Liang, PN Suganthan, MF Tasgetiren 2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008 | 296 | 2008 |
| Multimodal multi-objective optimization: A preliminary study JJ Liang, CT Yue, BY Qu 2016 IEEE congress on evolutionary computation (CEC), 2454-2461, 2016 | 263 | 2016 |
| 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 | 252 | 2018 |
| Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem QK Pan, L Gao, L Wang, J Liang, XY Li Expert systems with applications 124, 309-324, 2019 | 249 | 2019 |
B. Y. QuZhongyuan University of TechnologyVerified email at zut.edu.cn
