An Improved Clonal Selection Algorithm and Its Application to Traveling Salesman Problems(Neural Networks and Bioengineering)
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概要
- 論文の詳細を見る
The clonal selection algorithm (CS), inspired by the basic features of adaptive immune response to antigenic stimulus, can exploit and explore the solution space parallelly and effectively. However, antibody initialization and premature convergence are two problems of CS. To overcome these two problems, we propose a chaotic distance-based clonal selection algorithm (CDCS). In this novel algorithm, we introduce a chaotic initialization mechanism and a distance-based somatic hypermutation to improve the performance of CS. The proposed algorithm is also verified for numerous benchmark traveling salesman problems. Experimental results show that the improved algorithm proposed in this paper provides better performance when compared to other metaheuristics.
- 社団法人電子情報通信学会の論文
- 2007-12-01
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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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
Tele Electric Supply Service Co. Ltd.
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Dai Hongwei
School Of Computer Engineering Huaihai Institute Of Technology
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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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