A concurrent-hybrid evolutionary algorithms with multi-child differential evolution and Guotao algorithm based on cultural algorithm framework

Authors:
Xia Li;Kunqi Liu;Lixiao Ma;Huanzhe Li
Affiliations:
Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang;Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang and School of Computer, China University of Geosciences, Wuhan;Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang;Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang
Venue:
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Year:
2010

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Abstract

This paper proposes a multi-child differential evolutionary algorithm (MCDE), and forms a concurrent-hybrid evolutionary algorithm by integrating the MCDE algorithm and Guotao algorithm based on variable searching subspace(VSSGT) into the culture algorithm framework. Numerical experiment results indicate that the performance of the proposed algorithm is better than that of MCDE, Differential Evolution algorithm(DE) and VSSGT, and better than that of the DE with double trial vectors based on Boltzmann mechanism.