Hierarchical distributed genetic algorithms: A fuzzy logic controller design application

被引：4

作者：

Kim, J ^{[1
]}

Zeigler, BP ^{[1
]}

机构：

[1] UNIV ARIZONA,DEPT ELECT & COMP ENGN,TUCSON,AZ 85721

来源：

IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1996年 / 11卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/64.506756

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Unlike conventional genetic algorithms, HDGAs use a multiresolutional search scheme and change structure to achieve a goal, in this application, an HGDA investigates various configurations dynamically to find the optimal design of a fuzzy logic controller for a complex, unmanned, space-based plant.

引用

页码：76 / 84

页数：9

共 10 条

[1]

[Anonymous], ARTIFICIAL INTELLIGE

[2] ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].

JANG, JSR .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685

[3]

Karr C., 1991, AI Expert, V6, P26

[4]

KIM JW, 1995, IEEE CONTROL JUN

[5]

KIM JW, 1994, THESIS U ARIZONA TUC

[6]

MIACHALEWICZ Z, 1992, GENETIC ALGORITHM PL

[7]

SCHOOLEY LC, 1993, CONTROL SYSTEMS

[8]

Wang L.:., 1994, Adaptive Fuzzy System and Control: Desing and Stability Analysis

[9] A SIMULATION ENVIRONMENT FOR INTELLIGENT MACHINE ARCHITECTURES [J].

ZEIGLER, BP ;

LOURI, A .

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 1993, 18 (01) :77-88

[10]

ZEIGLER BP, 1991, T SOC COMPUT SIMUL, V7, P291

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