A new stochastic search algorithm for global optimization based on mutation operator

被引：0

作者：

Liu, P ^{[1
]}

Cheng, YY ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Chem & Biochem Engn, Hangzhou 310027, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

Genetic Algorithms; global optimization; random restart; mutation operator;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a random restart heuristics for the global optimization problem that is based on the principles of mutation Inspired by biology, it only uses the mutation operator to search the solution space. Combining local optimization by the mutation operator and random restart method in order to increase the reliability of finding the global optimum, the nay algorithm can obtain satisfactory results in limited time The superiority of this methodology ova; the conventional genetic algorithm is established on some problems of optimizing complex functions.

引用

页码：625 / 629

页数：5