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基于克隆选择原理求解多峰函数优化问题
Resolving Multi-modal Function Optimization Problem Based on Clonal Selection Principle
【摘要】 文中分析了传统的用于多峰函数优化问题的小生境遗传算法的特点和不足,基于免疫系统中的克隆选择原理,合理地构建了克隆选择算子及引入一种新的小生境技术,提出了一种解决多峰函数优化问题的小生境克隆选择算法.最后,实现了该算法对几种典型的多峰函数的优化仿真,结果表明该算法简单有效.
【Abstract】 This paper analyzes the characteristics and deficiencies of traditional niche genetic algorithms for multi-modal function optimization,and propose a niche clonal selection algorithm for multi-modal function optimization by formulating suitable clonal selection operators and introducing a new niching technology,based on clonal selection principle of immune system.Finally,the algorithm is applied to the optimizations of typical multi-modal functions.The experiments reveal its simplicity and effectiveness.
【关键词】 多峰函数优化;
小生境技术;
克隆选择原理;
【Key words】 multi-modal function optimization; clonal selection principle; niching technology;
【Key words】 multi-modal function optimization; clonal selection principle; niching technology;
- 【文献出处】 河西学院学报 ,Journal of Hexi University , 编辑部邮箱 ,2006年05期
- 【分类号】Q3-3
- 【下载频次】101