2006 | OriginalPaper | Buchkapitel
Immune Clonal Selection Evolutionary Strategy for Constrained Optimization
verfasst von : Wenping Ma, Licheng Jiao, Maoguo Gong, Ronghua Shang
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.