FUZZY GENETIC ALGORITHM AND APPLICATIONS

被引：58

作者：

BUCKLEY, JJ ^{[1
]}

HAYASHI, Y ^{[1
]}

机构：

[1] IBARAKI UNIV,DEPT COMP & INFORMAT SCI,HITACHI,IBARAKI 316,JAPAN

来源：

FUZZY SETS AND SYSTEMS | 1994年 / 61卷 / 02期

关键词：

GENETIC ALGORITHM; FUZZY OPTIMIZATION; FUZZY LINEAR PROGRAMMING; FUZZY MAXIMUM FLOW PROBLEM; FUZZY REGRESSION; FUZZY CONTROLLER;

D O I：

10.1016/0165-0114(94)90228-3

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we introduce fuzzy genetic algorithms to (approximately) solve fuzzy optimization problems. We argue that this technique can produce good approximate solutions by applying it to solve a fuzzy optimization problem. Other applications of fuzzy genetic algorithms to fuzzy optimization, the fuzzy maximum flow problem, fuzzy regression, and tuning a fuzzy controller are also presented.

引用

页码：129 / 136

页数：8

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