节点文献
一种新的伪并行遗传算法(英文)
A Novel Pseudo-Parallel Genetic Algorithm
【摘要】 利用混沌序列的伪随机性,将混沌引入伪并行遗传算法,提出了伪并行混沌遗传算法。对3个检测函数的仿真实验表明该算法能较好地克服早熟现象及收敛速度慢的问题,优于伪并行遗传算法、显著优于标准遗传算法。
【Abstract】 In this paper,the pseudo-parallel chaotic genetic algorithm is presented by using the property of pseudo-random of chaotic sequence and putting chaos into the pseudo-parallel genetic algorithms.The simulating computation of three testing functions demonstrates that the premature phenomenon can be overcome better and the slow convergence problem can be improved by this algorithm.The presented algorithm is superior to pseudo-parallel genetic algorithms and prominently superior to standard genetic algorithms.
【关键词】 遗传算法;
混沌优化;
伪并行遗传算法;
【Key words】 genetic algorithms; chaos optimization; pseudo-parallel genetic algorithms;
【Key words】 genetic algorithms; chaos optimization; pseudo-parallel genetic algorithms;
【基金】 Key Science Program Foundation of Education Department of Hubei Province (B200513001)
- 【文献出处】 广西师范大学学报(自然科学版) ,Journal of Guangxi Normal University(Natural Science Edition) , 编辑部邮箱 ,2006年04期
- 【分类号】TP18
- 【被引频次】2
- 【下载频次】135