Xiaodong Li, IEEE Fellow

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Mohammad Nabi OmidvarAssociate Professor, University of LeedsDirección de correo verificada de leeds.ac.uk
Yi Mei, Fellow of EngNZAssociate Professor/Reader, Associate Dean (Research), Victoria University of WellingtonDirección de correo verificada de ecs.vuw.ac.nz
Ke TangProfessor, Southern University of Science and TechnologyDirección de correo verificada de sustech.edu.cn
Yuan SunLa Trobe UniversityDirección de correo verificada de latrobe.edu.au
Andreas ErnstMonash University, AustraliaDirección de correo verificada de monash.edu
Kai (Alex) QinSwinburne University of TechnologyDirección de correo verificada de swin.edu.au
Borhan KazimipourMonash UniversityDirección de correo verificada de monash.edu
Zhenyu YangZhuiyi Inc.Dirección de correo verificada de wezhuiyi.com
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolDirección de correo verificada de wbs.ac.uk
Yutao QiAssociate Professor of Computer Science and Technology, Xidian UniverstiyDirección de correo verificada de xidian.edu.cn
Fabio ZambettaProfessor, School of Computing Technologies, RMIT UniversityDirección de correo verificada de rmit.edu.au
Michael G. EpitropakisLecturer, Data Science Institute, Management Science, Lancaster UniversityDirección de correo verificada de lancaster.ac.uk
Michael KirleyProfessor, School of Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityDirección de correo verificada de egr.msu.edu
Antony W. IorioRMIT University & UNSW@ADFADirección de correo verificada de paradynsystems.com
Zexuan ZhuShenzhen UniversityDirección de correo verificada de szu.edu.cn
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceDirección de correo verificada de sun.ac.za
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKDirección de correo verificada de qu.edu.qa
Xinghuo YuFAA, FIEEE, HonFIEAust, Distinguished Professor @ RMIT UniversityDirección de correo verificada de rmit.edu.au
Florian 'Floyd' MuellerMonash UniversityDirección de correo verificada de rmit.edu.au

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Xiaodong Li, IEEE Fellow

Professor, School of Computing Technologies, RMIT University, Melbourne

Dirección de correo verificada de rmit.edu.au - Página principal

Artificial Intelligence Machine Learning Evolutionary Computation Large-Scale Optimization Swarm Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Benchmark functions for the CEC’2010 special session and competition on large scale global optimization K Tang, X Li, PN Suganthan, Z Yang, T Weise Nature Inspired Computation and Applications Laboratory, USTC, China, 2010	1074	2010
Cooperatively coevolving particle swarms for large scale optimization X Li, X Yao IEEE Transactions on Evolutionary Computation 16 (2), 210-224, 2011	855	2011
Cooperative co-evolution with differential grouping for large scale optimization MN Omidvar, X Li, Y Mei, X Yao IEEE Transactions on evolutionary computation 18 (3), 378-393, 2014	734	2014
A non-dominated sorting particle swarm optimizer for multiobjective optimization X Li Genetic and evolutionary computation conference, 37-48, 2003	686	2003
Swarm intelligence in optimization C Blum, X Li Swarm intelligence: introduction and applications, 43-85, 2008	665	2008
Locating and tracking multiple dynamic optima by a particle swarm model using speciation D Parrott, X Li IEEE Transactions on Evolutionary Computation 10 (4), 440-458, 2006	657	2006
Niching without niching parameters: particle swarm optimization using a ring topology X Li IEEE Transactions on Evolutionary Computation 14 (1), 150-169, 2010	594	2010
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China gene 7 (33), 8, 2013	516	2013
Binary dragonfly optimization for feature selection using time-varying transfer functions M Mafarja, I Aljarah, AA Heidari, H Faris, P Fournier-Viger, X Li, S Mirjalili Knowledge-Based Systems 161, 185-204, 2018	380	2018
Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization X Li Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004	380	2004
Benchmark functions for CEC’2013 special session and competition on niching methods for multimodal function optimization X Li, A Engelbrecht, MG Epitropakis RMIT University, Evolutionary Computation and Machine Learning Group …, 2013	374	2013
Solving rotated multi-objective optimization problems using differential evolution AW Iorio, X Li Australasian joint conference on artificial intelligence, 861-872, 2004	333	2004
DG2: A faster and more accurate differential grouping for large-scale black-box optimization MN Omidvar, M Yang, Y Mei, X Li, X Yao IEEE Transactions on evolutionary computation 21 (6), 929-942, 2017	320	2017
Seeking multiple solutions: An updated survey on niching methods and their applications X Li, MG Epitropakis, K Deb, A Engelbrecht IEEE Transactions on Evolutionary Computation 21 (4), 518-538, 2016	311	2016
Cooperative co-evolution with delta grouping for large scale non-separable function optimization MN Omidvar, X Li, X Yao IEEE congress on evolutionary computation, 1-8, 2010	299	2010
A survey on cooperative co-evolutionary algorithms X Ma, X Li, Q Zhang, K Tang, Z Liang, W Xie, Z Zhu IEEE Transactions on Evolutionary Computation 23 (3), 421-441, 2018	275	2018
A review of population initialization techniques for evolutionary algorithms B Kazimipour, X Li, AK Qin 2014 IEEE congress on evolutionary computation (CEC), 2585-2592, 2014	274	2014
Efficient differential evolution using speciation for multimodal function optimization X Li Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	274	2005
A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization Y Mei, MN Omidvar, X Li, X Yao ACM Transactions on Mathematical Software (TOMS) 42 (2), 1-24, 2016	250	2016
Cooperative co-evolution for large scale optimization through more frequent random grouping MN Omidvar, X Li, Z Yang, X Yao IEEE Congress on Evolutionary Computation, 1-8, 2010	244	2010

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