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Indexed by:期刊论文

Date of Publication:2006-01-01

Journal:7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006)

Included Journals:SCIE、EI、CPCI-S

Volume:4224

Page Number:1079-1086

ISSN No.:0302-9743

Key Words:bi-shape-space coding; discrete immune network; benchmark functions

Abstract:Aimed at multimodal optimization, the paper proposes an improved discrete immune network model (IDIN). In order to mention dynamic population and appropriate diversity, we introduce a bi-shape-space coding mechanism into a discrete immune network. To evaluate the efficiency of IDIN, we implemented three benchmark functions with various dimensions, and compared our results with other algorithms based on immune algorithm or the developed version of Genetic Algorithms. We have obtained similar or better results than those of others.