Quantum Interference Crossover-Based Clonal Selection Algorithm and Its Application to Traveling Salesman Problem
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概要
- 論文の詳細を見る
Clonal Selection Algorithm (CSA), based on the clonal selection theory proposed by Burnet, has gained much attention and wide applications during the last decade. However, the proliferation process in the case of immune cells is asexual. That is, there is no information exchange during different immune cells. As a result the traditional CSA is often not satisfactory and is easy to be trapped in local optima so as to be premature convergence. To solve such a problem, inspired by the quantum interference mechanics, an improved quantum crossover operator is introduced and embedded in the traditional CSA. Simulation results based on the traveling salesman problems (TSP) have demonstrated the effectiveness of the quantum crossover-based Clonal Selection Algorithm.
- 2009-01-01
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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DAI Hongwei
School of Computer Engineering, Huaihai Institute of Technology
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YANG Yu
School of Computer Engineering, Huaihai Institute of Technology
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LI Cunhua
School of Computer Engineering, Huaihai Institute of Technology
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SHI Jun
School of Computer Engineering, Huaihai Institute of Technology
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Li Cunhua
School Of Computer Engineering Huaihai Institute Of Technology
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Yang Yu
School Of Computer Engineering Huaihai Institute Of Technology
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Shi Jun
School Of Computer Engineering Huaihai Institute Of Technology
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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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