摘要
简述了多峰优化的主要问题及遗传算法的基本概念及算法.在传统的优化方法基础上,引入遗传算法的思想,提出以优化搜索方向向量为研究对象,在连续空间进行优化的遗传搜索优化算法;给出了算法中关键参数的选取方法;最后,给出了该算法的计算实例,结果表明,用该算法能较稳定地找出全局最优点.
Optimization with multiminimum and the basic concept of the genetic algorithm are described. Based on the classical optimization method, a genetic search optimization algorithm in continuous space is presented. The selection of the key parameters is discussed. The calculation results of computational examples with the algorithm proposed are given. The algorithm is shown to be steadily convergent at global optimum.
出处
《华中理工大学学报》
CSCD
北大核心
1992年第A00期223-228,共6页
Journal of Huazhong University of Science and Technology
关键词
全局优化
遗传算法
遗传搜索
global optimization5genetic algorithm
genetic search
continuous space
