R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2022, (Codes from my GitHub)

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J. J. Liang (梁静)Zhengzhou UniversityVerified email at zzu.edu.cn
Swagatam DasElectronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
B. Y. QuZhongyuan University of TechnologyVerified email at zut.edu.cn
Rammohan MallipeddiAssociate Professor, Department of Artificial Intelligence, School of Electronics, KyungpookVerified email at knu.ac.kr
Quan-ke panState Key Laboratory of Synthetical Automation for Process Industries, Northeastern UniversityVerified email at mail.neu.edu.cn
M. Fatih TasgetirenIndustrial and Systems Engineering, Auburn UniversityVerified email at auburn.edu
Kai (Alex) QinSwinburne University of TechnologyVerified email at swin.edu.au
Shizheng ZhaoNanyang Technological UniversityVerified email at e.ntu.edu.sg
Gehan AmaratungaProfessor of Electrical Engineering, University of CambridgeVerified email at cam.ac.uk
Prof. S.Baskar 0000-0002-2735-0487Dean (R&D),Professor, EEE Department,Thiagarajar College of EngineeringVerified email at tce.edu
Mostafa Z. AliProfessor of Computer Science, Jordan University of Science and TechnologyVerified email at just.edu.jo
Guohua WuCentral South UniversityVerified email at nudt.edu.cn
Noor H. AwadPostdoctoral Research Fellow, Machine Learning Lab, university of FreiburgVerified email at cs.uni-freiburg.de
Kaizhou GaoMacau University of Science and TechnologyVerified email at e.ntu.edu.sg
Partha P BiswasAdvanced Digital Sciences Center, SingaporeVerified email at e.ntu.edu.sg
Le ZhangUniversity of Electronic Science and Technology of ChinaVerified email at e.ntu.edu.sg
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.ac.uk

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2022, (Codes from my GitHub)

KINDI Center for Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UK

Verified email at qu.edu.qa - Homepage

Machine Learning(ML)Swarm-Evolutionary Computation(SEC)Neural Networks(ANN)Applications of ML SEC ANN.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Differential evolution: A survey of the state-of-the-art S Das, PN Suganthan Evolutionary Computation, IEEE Transactions on 15 (99), 4-31, 2011	4874	2011
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions JJ Liang, AK Qin, PN Suganthan, S Baskar IEEE Transactions on Evolutionary Computation (Codes available from GitHub …, 2006	3695	2006
Differential evolution algorithm with strategy adaptation for global numerical optimization AK Qin, VL Huang, PN Suganthan IEEE Transactions on Evolutionary Computation (Codes available from GitHub …, 2009	3520	2009
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 Technical Report, Nanyang Technological University, Singapore, May 2005 AND …, 2005	2564	2005
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	2017	2011
Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective real-parameter numerical optimization NH Awad, MZ Ali, JJ Liang, BY Qu, PN Suganthan Tech. Rep., 2016	1628	2016
Self-adaptive differential evolution algorithm for numerical optimization AK Qin, PN Suganthan 2005 IEEE congress on evolutionary computation 2, 1785-1791, 2005	1391	2005
Particle swarm optimiser with neighbourhood operator PN Suganthan Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No …, 1999	1358	1999
Recent advances in differential evolution–an updated survey S Das, SS Mullick, PN Suganthan Swarm and Evolutionary Computation 27, 1-30, 2016	1275	2016
Differential evolution algorithm with ensemble of parameters and mutation strategies R Mallipeddi, PN Suganthan, QK Pan, MF Tasgetiren Applied Soft Computing (Codes available from GitHub) 11 (2), 1679-1696, 2011	1267	2011
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 Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China …, 2013	1055	2013
Multiobjective optimization test instances for the CEC 2009 special session and competition Q Zhang, A Zhou, S Zhao, PN Suganthan, W Liu, S Tiwari University of Essex, Colchester, UK and Nanyang technological University …, 2008	1040	2008
Benchmark functions for the CEC’2008 special session and competition on large scale global optimization K Tang, X Yáo, PN Suganthan, C MacNish, YP Chen, CM Chen, Z Yang Nature Inspired Computation and Applications Laboratory, USTC, China, 2007	950	2007
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	832	2005
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, ... Technical Report,, 2006	744	2006
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem QK Pan, MF Tasgetiren, PN Suganthan, TJ Chua Information sciences 181 (12), 2455-2468, 2011	679	2011
Dynamic multi-swarm particle swarm optimizer (Codes available from GitHub) JJ Liang, PN Suganthan Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005., 124-129, 2005	640	2005
An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization SKM Islam, S Das, S Ghosh, S Roy, PN Suganthan Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 42 …, 2012	600	2012
Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems S Das, PN Suganthan Jadavpur University, Nanyang Technological University, Kolkata, 2010	534	2010
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	508	2005

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