Immune clonal selection evolutionary strategy for constrained optimization

Authors:
Wenping Ma;Licheng Jiao;Maoguo Gong;Ronghua Shang
Affiliations:
Institute of Intelligent Information Processing, Xidian University, Xi'an, P.R. China;Institute of Intelligent Information Processing, Xidian University, Xi'an, P.R. China;Institute of Intelligent Information Processing, Xidian University, Xi'an, P.R. China;Institute of Intelligent Information Processing, Xidian University, Xi'an, P.R. China
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

Based on the clonal selection theory, a novel artificial immune systems algorithm, immune clonal selection evolutionary strategy for constrained optimization (ICSCES), is put forward. The new algorithm uses the stochastic ranking constraint-handling technique, realizs local search using clonal proliferation and clonal selection, and global search using clonal deletion. The experimental results on ten benchmark problems show, compared with the (µ, λ)evolutionary strategies adopting stochastic ranking technique and dynamic penalty function method, ICSCES has the ability of significantly improving the search performance both in convergence speed and precision.