Adopting Dynamic Operators in a Genetic Algorithm

被引：0

作者：

Tahera, K. ^{[1
]}

Ibrahim, R. N. ^{[1
]}

Lochert, P. B. ^{[1
]}

机构：

[1] Monash Univ, Dept Ind Engn, Clayton, Vic 3800, Australia

来源：

GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2 | 2007年

关键词：

Genetic Algorithm; Gendered Reproduction; Continuous Age Structure; Dynamic change of Genetic operators; Adopted Child;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Genetic Algorithms have been used to solve difficult optimization problems in a number of fields. However, in order to solve a problem with GA, the User has to specify a number of parameters. This parameter tuning is a difficult task as different genetic operators are suitable in different application areas. This paper proposes a scheme for genetic algorithms where the genetic operators are changed randomly. The information of gender and age is also incorporated in this approach to maintain population diversity. The experimental result of the proposed algorithm based on a mechanical design problem shows promising result.

引用

页码：1533 / 1533

页数：1