Nonlinear mapping using real-valued genetic algorithm

被引：9

作者：

Chen, ZP ^{[1
]}

Jiang, JH ^{[1
]}

Li, Y ^{[1
]}

Yu, RQ ^{[1
]}

机构：

[1] Hunan Univ, Coll Chem & Chem Engn, Chansha 410082, Peoples R China

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1999年 / 45卷 / 1-2期

关键词：

nonlinear mapping; real-valued genetic algorithm (RGA); immigration; orientated mutation;

D O I：

10.1016/S0169-7439(98)00196-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A real-valued genetic algorithm (RGA) for the optimization problem of real-valued parameters was developed. Two special operators, orientated mutation and immigration, were introduced to enhance the efficiency of the searching process and confront the causes of premature convergence. The proposed RGA was applied to complicated nonlinear mapping problems. Experimental results show that the proposed RGA can alleviate the problem of premature convergence and successfully find acceptable optima with high efficiency. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：409 / 418

页数：10

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