Using fuzzy logic to optimize genetic algorithm performance

被引：0
|
作者：
McClintock, S
Lunney, T
Hashim, A
机构：
来源：
INES'97 : 1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, PROCEEDINGS | 1997年
关键词：
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：
This paper reviews current methods of integrating Genetic Algorithms with Fuzzy Logic control. A Fuzzy Logic controlled Genetic Algorithm (FLC-GA) is proposed where operator selection and parameter adjustment is carried out dynamically and automatically. The Fuzzy Logic controller facilitates this automated control by employing an associated Rulebase and Inference Engine. This decides, using feedback from the Genetic Algorithm, what control action to take and when to take it, providing optimal solutions within reasonable time limitations.
引用
收藏
页码：271 / 275
页数：5
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