| 基于免疫理论的仿生优化算法 |
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| 引用本文： | 苗菲,左春柽,张文博.基于免疫理论的仿生优化算法[J].吉林工学院学报,2008,29(1):34-36. |
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| 作者姓名： | 苗菲 左春柽 张文博 |
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| 作者单位： | 吉林大学机械科学与工程学院 吉林长春130025 |
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| 基金项目： | 国家高技术研究发展计划(863计划)
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吉林省国际合作研究项目 |
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| 摘 要： | 提出一种新的仿生优化算法——自适应免疫克隆混合优化算法。介绍了仿生优化算法的基本思想及实现过程。以多峰值函数Camelback寻优为例，通过测试函数的计算结果，以及与基于信息熵的免疫算法和自适应免疫算法的仿真实验对比，证明了该算法对多峰值函数寻优的有效性，既可以大大减少计算量，又能改善种群的多样性，可快速达到全局最优，在优化领域具有广阔的应用前景。
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| 关 键 词： | 免疫算法 克隆选择 仿生优化 |
| 文章编号： | 1674-1374（2008）01-0034-03 |
| 收稿时间： | 2007-11-21 |
| 修稿时间： | 2007年11月21 |
Bionic optimization algorithm based on immune algorithm theory |
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| MIAO Fei,ZUO Chun-cheng,ZHANG Wen-bo.Bionic optimization algorithm based on immune algorithm theory[J].Journal of Jilin Institute of Technology,2008,29(1):34-36. |
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| Authors: | MIAO Fei ZUO Chun-cheng ZHANG Wen-bo |
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| Institution: | (College of Mechanical Science and Engineering, Jilin University, Changchun 130025, China) |
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| Abstract: | A new bionic optimization algorithm is proposed based on adaptive immune algorithm and clonal selection theory.The basic ideas and implementation procedure of the bionic optimization algorithm are discussed in detail.With Camelback multi-peak function as an example,the simulation results show the efficiency and rationality of the algorithm for the multi-peak function,and can converge to the global optimum at a quicker rate in a given range compared with the artificial immune algorithm based information entropy and adaptive immune algorithm.The algorithm can greatly decrease the computational costs and improves the colony diversity with extensive application prospects in many practical optimization problems. |
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| Keywords: | immune algorithm clonal selection bionic optimization |
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