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

作　　者：刘春元[1] 张春燕[2] 

机构地区：[1]河西学院网络中心,甘肃张掖734000 [2]河西学院生物系,甘肃张掖734000

出　　处：《河西学院学报》2006年第5期14-17,共4页Journal of Hexi University

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.This paper analyzes the characteristics and deficiencies of traditional niche genetic algorithms for multi-modal function optimization, and propose a niche cionai selection algorithm for multi-modal function optimization by formulating suitable cional selection operators and introducing a new niching technology, based on cionai 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 免疫系统 

分 类 号：O241[理学—计算数学]