Jun He

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Yuren ZhouProfessor of Computer Science, SUN YAT-SEN UNIVERSITYVerified email at mail.sysu.edu.cn
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldVerified email at sheffield.ac.uk
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Carsten WittTechnical University of DenmarkVerified email at imm.dtu.dk
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Thomas JansenAberystwyth UniversityVerified email at aber.ac.uk
Simon T. PowersDivision of Computing Science and Mathematics, University of StirlingVerified email at stir.ac.uk
Yu ChenSchool of Mathematics and Statistics, Wuhan University of Technology, ChinaVerified email at whut.edu.cn
Xiufen ZouProfessor,School of Mathematics and Statistics, Wuhan University, China.Verified email at whu.edu.cn
Christine ZargesDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
Liang ShenLecturer with School of Information Engineering, Fujian Business UniversityVerified email at fjbu.edu.cn
Xinghuo YuFAA, HonFIEAust, FIEEE, Distinguished Professor @ RMIT UniversityVerified email at rmit.edu.au
Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Roy JohnstonProfessor of Computational Chemistry, University of Birmingham, UKVerified email at bham.ac.uk
Elio TuciUniversity of NamurVerified email at unamur.be
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)
Dogan Corusİstanbul Bilgi University

Jun He

Nottingham Trent University

Verified email at ntu.ac.uk - Homepage

Computational Intelligence Evolutionary Computation Network Security Parallel Algorithms Data Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Drift analysis and average time complexity of evolutionary algorithms J He, X Yao Artificial Intelligence 127 (1), 57-85, 2001	499	2001
A study of drift analysis for estimating computation time of evolutionary algorithms J He, X Yao Natural Computing 3 (1), 21-35, 2004	291	2004
Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results PS Oliveto, J He, X Yao International Journal of Automation and Computing 4 (3), 281-293, 2007	290	2007
From an individual to a population: An analysis of the first hitting time of population-based evolutionary algorithms J He, X Yao Evolutionary Computation, IEEE Transactions on 6 (5), 495-511, 2002	227	2002
Towards an analytic framework for analysing the computation time of evolutionary algorithms J He, X Yao Artificial Intelligence 145 (1-2), 59-97, 2003	225	2003
Approximating covering problems by randomized search heuristics using multi-objective models* T Friedrich, J He, N Hebbinghaus, F Neumann, C Witt Evolutionary Computation 18 (4), 617-633, 2010	183	2010
A hybrid artificial immune system and Self Organising Map for network intrusion detection ST Powers, J He Information Sciences 178 (15), 3024-3042, 2008	180	2008
Evolutionary programming using a mixed mutation strategy H Dong, J He, H Huang, W Hou Information Sciences 177 (1), 312-327, 2007	137	2007
On the convergence rates of genetic algorithms J He, L Kang Theoretical Computer Science 229 (1-2), 23-39, 1999	134	1999
Analysis of the -EA for Finding Approximate Solutions to Vertex Cover Problems PS Oliveto, J He, X Yao Evolutionary Computation, IEEE Transactions on 13 (5), 1006-1029, 2009	114	2009
Conditions for the convergence of evolutionary algorithms J He, X Yu Journal of systems architecture 47 (7), 601-612, 2001	92	2001
A new approach for analyzing average time complexity of population-based evolutionary algorithms on unimodal problems T Chen, J He, G Sun, G Chen, X Yao Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 39 …, 2009	91	2009
Average convergence rate of evolutionary algorithms J He, G Lin IEEE Transactions on Evolutionary Computation 20 (2), 316-321, 2016	88	2016
A note on problem difficulty measures in black-box optimization: Classification, realizations and predictability J He, C Reeves, C Witt, X Yao Evolutionary computation 15 (4), 435-443, 2007	83	2007
A scalar projection and angle-based evolutionary algorithm for many-objective optimization problems Y Zhou, Y Xiang, Z Chen, J He, J Wang IEEE transactions on cybernetics 49 (6), 2073-2084, 2018	70	2018
Multi-objective and MGG evolutionary algorithm for constrained optimization Y Zhou, Y Li, J He, L Kang The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 1-5, 2003	64	2003
Analysis of population-based evolutionary algorithms for the vertex cover problem PS Oliveto, J He, X Yao 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	61	2008
Solving equations by hybrid evolutionary computation techniques J He, J Xu, X Yao Evolutionary Computation, IEEE Transactions on 4 (3), 295-304, 2000	60	2000
On the easiest and hardest fitness functions J He, T Chen, X Yao IEEE Transactions on Evolutionary Computation 19 (2), 295-305, 2015	59	2015
A runtime analysis of evolutionary algorithms for constrained optimization problems Y Zhou, J He Evolutionary Computation, IEEE Transactions on 11 (5), 608-619, 2007	56	2007

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