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A cooperative Co-evolutional immune algorithm

A cooperative Co-evolutional immune algorithm
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摘要 A co-evolutional immune algorithm for the optimization of a function with real parameters is de-scribed.It uses a cooperative co-evolution of two populations,one is a population of antibodies and theother is a population of successful mutation vectors.These two population evolve together to improve thediversity of the antibodies.The algorithm described is then tested on a suite of optimization problems.The results show that on most of test functions,this algorithm can converge to the global optimum atquicker rate in a given range,the performance of optimization is improved effetely. A co-evolutional immune algorithm for the optimization of a function with real parameters is described. It uses a cooperative co-evolution of two populations, one is a population of antibodies and the other is a population of successful mutation vectors. These two population evolve together to improve the diversity of the antibodies. The algorithm described is then tested on a suite of optimization problems. The results show that on most of test functions, this algorithm can converge to the global optimum at quicker rate in a given range, the performance of optimization is improved effetely.
作者 刘丽珏 Cai Zixing
机构地区 School of Information Science and Engineering
出处 《High Technology Letters》 EI CAS 2009年第2期126-130,共5页 高技术通讯（英文版）
基金 Supported by the National Fundamental Research Project(A1420060159)
关键词 IMMUNITY CO-EVOLUTION CLONE MUTATION optimization real-parameter 合作社 免疫算法 人口突变 人口发展
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献13

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二级参考文献20

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共引文献31

High Technology Letters
2009年 第2期

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