An Artificial Immune System with Feedback Mechanisms for Effective Handling of Population Size
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概要
- 論文の詳細を見る
This paper represents a feedback artificial immune system (FAIS). Inspired by the feedback mechanisms in the biological immune system, the proposed algorithm effectively manipulates the population size by increasing and decreasing B cells according to the diversity of the current population. Two kinds of assessments are used to evaluate the diversity aiming to capture the characteristics of the problem on hand. Furthermore, the processing of adding and declining the number of population is designed. The validity of the proposed algorithm is tested for several traveling salesman benchmark problems. Simulation results demonstrate the efficiency of the proposed algorithm when compared with the traditional genetic algorithm and an improved clonal selection algorithm.
- （社）電子情報通信学会の論文
- 2010-02-01
著者
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WANG Rong-Long
Faculty of Engineering, Fukui University
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Wang Rong-long
Faculty Of Engineering Toyama University
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Tang Zheng
Univ. Toyama Toyama‐shi Jpn
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GAO Shangce
Graduate School of Innovative Life Science, University of Toyama
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ISHII Masahiro
Graduate School of Innovative Life Science, University of Toyama
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TANG Zheng
Graduate School of Innovative Life Science, University of Toyama
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Tang Zheng
Univ. Of Toyama Toyama‐shi Jpn
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Tang Zheng
Graduate School Of Innovative Life Science University Of Toyama
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Gao Shangce
Faculty Of Engineering University Of Toyama
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Ishii Masahiro
Graduate School Of Innovative Life Science University Of Toyama
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Gao Shangce
Graduate School Of Innovative Life Science University Of Toyama
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Tang Zheng
Department Of Computer Science And Technology The Key Laboratory Of Embedded System And Service Comp
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Wang Rong-long
Faculty Of Engineering Fukui University
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