An Expanded Lateral Interactive Clonal Selection Algorithm and Its Application
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概要
- 論文の詳細を見る
Based on the clonal selection principle proposed by Burnet, in the immune response process there is no crossover of genetic material between members of the repertoire, i. e., there is no knowledge communication during different elite pools in the previous clonal selection models. As a result, the search performance of these models is ineffective. To solve this problem, inspired by the concept of the idiotypic network theory, an expanded lateral interactive clonal selection algorithm (LICS) is put forward. In LICS, an antibody is matured not only through the somatic hypermutation and the receptor editing from the B cell, but also through the stimuli from other antibodies. The stimuli is realized by memorizing some common gene segment on the idiotypes, based on which a lateral interactive receptor editing operator is also introduced. Then, LICS is applied to several benchmark instances of the traveling salesman problem. Simulation results show the efficiency and robustness of LICS when compared to other traditional algorithms.
- （社）電子情報通信学会の論文
- 2008-08-01
著者
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TANG Zheng
Faculty of Engineering, Toyama University
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Tang Zheng
Univ. Toyama Toyama‐shi Jpn
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Tang Zheng
Faculty Of Engineering Miyazaki University
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GAO Shangce
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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DAI Hongwei
Faculty of Engineering, Toyama University
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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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ZHANG Jianchen
Hiscom Co. Ltd.
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ZHANG Jianchen
Faculty of Engineering, University of Toyama
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Dai Hongwei
School Of Computer Engineering Huaihai Institute Of Technology
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Dai Hongwei
Faculty Of Engineering Toyama University
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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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