| 基于混沌理论的免疫遗传算法 |
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| 引用本文： | 张楠,李志蜀,张建华,李奇.基于混沌理论的免疫遗传算法[J].计算机应用,2006,26(5):1111-1112. |
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| 作者姓名： | 张楠 李志蜀 张建华 李奇 |
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| 作者单位： | 四川大学计算机学院、西南民族大学计算机学院 |
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| 摘 要： | 为提高免疫遗传算法的运算效率，根据免疫系统本身的混沌特性，提出了一种混沌免疫遗传算法。该算法利用混沌系统的遍历性来减少数据冗余，利用混沌系统的初值敏感性来扩大搜索范围，从而保持了种群的多样性，避免了局部最优。实验表明，该算法比传统的免疫遗传算法具有更高的收敛速度及收敛性能。
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| 关 键 词： | 免疫遗传算法 混沌 熵 变异 |
| 文章编号： | 1001-9081（2006）05-1111-02 |
| 收稿时间： | 2005-11-10 |
| 修稿时间： | 2005-11-102006-01-23 |
An Immune Genetic Algorithm Based on Chaos Theory |
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| ZHANG Nan,LI Zhi-shu,ZHANG Jian-hua,LI Qi.An Immune Genetic Algorithm Based on Chaos Theory[J].journal of Computer Applications,2006,26(5):1111-1112. |
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| Authors: | ZHANG Nan LI Zhi-shu ZHANG Jian-hua LI Qi |
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| Affiliation: | 1. Computer Software Lab, Sichuan Normal University, Chengdu Sichuan 610068, China; 2. College of Computer Science, Sichuan University, Chengdu Sichuan 610065, China; School of Computer, Southwest University for Nationalities, Chengdu Sichuan 610041, China; |
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| Abstract: | To increase operating efficiency of immune genetic algorithm, a chaos immune genetic algorithm is presented based on the chaotic character of the immune system. The over-spread character of the chaos sequence was used to overcome redundancies, and the chaos initial value sensitivity was used to enlarge the searching space. Thus, the diversity of population was retained and the local optimization was avoided. The experimental results show that the chaos immune genetic algorithm evidently improves the convergent speed and astringency. |
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| Keywords: | immune genetic algorithm chaos entropy mutation |
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