| 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 | 3270 | 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 | 2303 | 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 | 1069 | 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 | 694 | 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 | 669 | 2006 |
| Dynamic multi-swarm particle swarm optimizer JJ Liang, PN Suganthan Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE, 124-129, 2005 | 574 | 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 | 451 | 2005 |
| 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 | 431 | 2010 |
| Dynamic multi-swarm particle swarm optimizer with local search JJ Liang, PN Suganthan 2005 IEEE Congress on Evolutionary Computation 1, 522-528, 2005 | 307 | 2005 |
| Differential evolution with neighborhood mutation for multimodal optimization BY Qu, PN Suganthan, JJ Liang IEEE transactions on evolutionary computation 16 (5), 601-614, 2012 | 278 | 2012 |
| 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 | 257 | 2014 |
| 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 | 222 | 2008 |
| Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems VL Huang, PN Suganthan, JJ Liang International Journal of Intelligent Systems 21 (2), 209-226, 2006 | 182 | 2006 |
| 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 | 179 | 2017 |
| Niching particle swarm optimization with local search for multi-modal optimization BY Qu, JJ Liang, PN Suganthan Information Sciences 197, 131-143, 2012 | 160 | 2012 |
| Dynamic multi-swarm particle swarm optimizer with a novel constraint-handling mechanism JJ Liang, PN Suganthan 2006 IEEE International Conference on Evolutionary Computation, 9-16, 2006 | 160 | 2006 |
| Problem definitions and evaluation criteria for the CEC 2013 special session and competition on real-parameter optimization JJ Liang, BY Qu, PN Suganthan, AG Hernández-Díaz Technical Report 201212, 2013 | 150 | 2013 |
| 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 | 130 | 2018 |
| 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 | 127 | 2017 |
| A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem QK Pan, PN Suganthan, JJ Liang, MF Tasgetiren Expert Systems with Applications 38 (4), 3252-3259, 2011 | 110 | 2011 |
Dr. P. N. Suganthan (SCI Highly Cited...EEE, NTU (Honorary Doctorate, Uni. of Maribor, 2020; BA, MA, Uni. of Cambridge, UK)Verified email at ntu.edu.sg
