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Jun He
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Drift analysis and average time complexity of evolutionary algorithms
J He, X Yao
Artificial Intelligence 127 (1), 57-85, 2001
5002001
A study of drift analysis for estimating computation time of evolutionary algorithms
J He, X Yao
Natural Computing 3 (1), 21-35, 2004
2932004
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
2922007
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
2252002
Towards an analytic framework for analysing the computation time of evolutionary algorithms
J He, X Yao
Artificial Intelligence 145 (1-2), 59-97, 2003
2212003
A hybrid artificial immune system and Self Organising Map for network intrusion detection
ST Powers, J He
Information Sciences 178 (15), 3024-3042, 2008
1872008
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
1822010
Evolutionary programming using a mixed mutation strategy
H Dong, J He, H Huang, W Hou
Information Sciences 177 (1), 312-327, 2007
1342007
On the convergence rates of genetic algorithms
J He, L Kang
Theoretical Computer Science 229 (1-2), 23-39, 1999
1341999
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
1132009
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
922009
Conditions for the convergence of evolutionary algorithms
J He, X Yu
Journal of systems architecture 47 (7), 601-612, 2001
922001
Average convergence rate of evolutionary algorithms
J He, G Lin
IEEE Transactions on Evolutionary Computation 20 (2), 316-321, 2016
912016
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
842007
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
742018
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
652003
Solving equations by hybrid evolutionary computation techniques
J He, J Xu, X Yao
Evolutionary Computation, IEEE Transactions on 4 (3), 295-304, 2000
632000
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
602008
On the easiest and hardest fitness functions
J He, T Chen, X Yao
IEEE Transactions on Evolutionary Computation 19 (2), 295-305, 2015
592015
A runtime analysis of evolutionary algorithms for constrained optimization problems
Y Zhou, J He
Evolutionary Computation, IEEE Transactions on 11 (5), 608-619, 2007
552007
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Artikler 1–20