Evolutionary game algorithm for continuous parameter optimization

Authors:
Ye Jun;Liu Xiande;Han Lu
Affiliations:
Optics Engineering Department, Huazhong University of Science & Technology, Hubei, PR China;Optics Engineering Department, Huazhong University of Science & Technology, Hubei, PR China;Electronics & Information Engineering Department, Huazhong University of Science & Technology, Hubei, PR China
Venue:
Information Processing Letters
Year:
2004

Citing 4
Cited 0

Genetic algorithms + data structures = evolution programs (2nd, extended ed.)

Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems

Finite Elements in Analysis and Design
Evolutionary Game Algorithm for Multiple Knapsack Problem

IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Microgenetic algorithms as generalized hill-climbing operators forGA optimization

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.89

Visualization

Abstract

In this paper a novel optimization algorithm is presented. The algorithm sets up appropriate mappings between optimization problems and non-cooperative games, and achieves the optimization objective by exploring the equilibrium points of the corresponding games. The global convergence property of the algorithm is given and experimental results show its efficiency.