摘要
针对标准遗传算法存在个体多样性差,易陷入局部极小等缺陷,提出了基于基因调控的改进遗传算法。该方法具有结构简单、搜索速度快、操作方便等特点。典型函数测试实验及对比分析结果证明了该方法的有效性,为遗传算法的改进及智能优化方法的研究提供了一条新的途径。
We present improved Genetic Algorithms based on Gene Regulation to the shortcomings in standard Genetic Algorithms such as difference for individual variety, easy being driven to partial infinitesimal. This method is provided with a simple structure, high - speed searching and convenient manipulation. This method is proved effective through testing with typical function and contrasting and analyzing the result. This provides a new way for the improve ment on Gene Regulation and the research in intelligent optimization.
出处
《济南大学学报(自然科学版)》
CAS
2006年第2期144-147,共4页
Journal of University of Jinan(Science and Technology)
基金
国家自然科学基金(60573065
60373013)
济南大学博士启动基金(B0206)
关键词
基因调控
遗传算法
调控算子
智能优化
gene regulation
genetic algorithm
regulation operator
intelligence optimization