Immune clonal strategies based on three mutation methods

Authors:
Ruochen Liu;Li Chen;Shuang Wang
Affiliations:
Institute of Intelligent Information processing, Xidian University, Xi' an, China;Institute of Intelligent Information processing, Xidian University, Xi' an, China;Institute of Intelligent Information processing, Xidian University, Xi' an, China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

Based on the clonal selection theory, the main mechanisms of clone are analyzed in this paper, a new immune operator, Clonal Operator, inspired by the Immune System is discussed firstly. Based on the Clonal operator, we propose Immune Clonal Strategy Algorithm (ICSA); three different mutation mechanisms including Gaussian mutation, Cauthy mutation and Mean mutation are used in IMSA. IMSA based on these three methods are compared with Classical Evolutionary Strategy (CES) on a set of benchmark functions, the numerical results show that ICSA is capable of avoiding prematurity, increasing the converging speed and keeping the variety of solution. Additionally, we present a general evaluation of the complexity of ICSA.