Evolving fuzzy rule based controllers using genetic algorithms

被引：147

作者：

Carse, B

Fogarty, TC

Munro, A

机构：

[1] UNIV W ENGLAND,FAC COMP STUDIES & MATH,BRISTOL TRANSPUTER CTR,BRISTOL BS16 1QY,AVON,ENGLAND

[2] UNIV BRISTOL,CTR COMMUN RES,DEPT ELECT & ELECTR ENGN,BRISTOL BS8 1TR,AVON,ENGLAND

来源：

FUZZY SETS AND SYSTEMS | 1996年 / 80卷 / 03期

关键词：

artificial intelligence; engineering; control theory; evolutionary computation; genetic algorithms;

D O I：

10.1016/0165-0114(95)00196-4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The synthesis of genetics-based machine learning and fuzzy logic is beginning to show promise as a potent tool in solving complex control problems in multi-variate non-linear systems. In this paper an overview of current research applying the genetic algorithm to fuzzy rule based control is presented. A novel approach to genetics-based machine learning of fuzzy controllers, called a Pittsburgh Fuzzy Classifier System #1 (P-FCS1) is proposed. P-FCS1 is based on the Pittsburgh model of learning classifier systems and employs variable length rule-sets and simultaneously evolves fuzzy set membership functions and relations. A new crossover operator which respects the functional linkage between fuzzy rules with overlapping input fuzzy set membership functions is introduced. Experimental results using P-FCS1 are reported and compared with other published results. Application of P-FCS1 to a distributed control problem (dynamic routing in computer networks) is also described and experimental results are presented.

引用

页码：273 / 293

页数：21

共 32 条

[11]

HOLLAND J, 1985, JUL P INT C GEN ALG, P1

[12]

Holmblad L.P., 1982, FUZZY INFORM DECISIO, P389

[13] A SELF-PACED FUZZY TRACKING CONTROLLER FOR 2-DIMENSIONAL MOTION CONTROL [J].

HUANG, LJ ;

TOMIZUKA, M .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1990, 20 (05) :1115-1124

[14]

Kinzel J., 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence (Cat. No.94TH0650-2), P28, DOI 10.1109/ICEC.1994.350047

[15]

KOSKO B, 1993, SCI AM, V269, P62

[16]

Kosko B., 1991, NEURAL NETWORKS FUZZ, V2nd

[17]

LEE MA, 1993, SECOND IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, P612, DOI 10.1109/FUZZY.1993.327418

[18]

LISKA J, 1994, PROCEEDINGS OF THE THIRD IEEE CONFERENCE ON FUZZY SYSTEMS - IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, VOLS I-III, P1377, DOI 10.1109/FUZZY.1994.343611

[19] APPLICATION OF FUZZY ALGORITHMS FOR CONTROL OF SIMPLE DYNAMIC PLANT [J].

MAMDANI, EH .

PROCEEDINGS OF THE INSTITUTION OF ELECTRICAL ENGINEERS-LONDON, 1974, 121 (12) :1585-1588

[20]

NAKAOKA K, 1994, PROCEEDINGS OF THE THIRD IEEE CONFERENCE ON FUZZY SYSTEMS - IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, VOLS I-III, P1797, DOI 10.1109/FUZZY.1994.343587

← 1 2 3 4 →