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Genetic algorithms for fuzzy controllers.

Authors
Karr-CL
Source
AI Expert 1991 Feb; 6(2):26-33
Link
NIOSHTIC No.
10009132
Abstract
Genetic algorithms (GA's) are a search technique drawing increasing attention in the field of optimization. GA's are algorithms that use operations found in natural genetics to guide their trek through a search space. The robust nature and simple mechanics of GA's make them inviting tools not only for establishing membership functions, but also for selecting rules to be used in fuzzy logic controllers. GA's are also potentially useful for selecting rules owing to some special traits that differentiate them from conventional techniques.
Keywords
Mathematical-models; Computer-software; Computer-models; Algorithms; Performance
CODEN
AIEXEF
Publication Date
19910201
Document Type
OP; Journal Article
Fiscal Year
1991
NTIS Accession No.
NTIS Price
Identifying No.
OP 79-91
Issue of Publication
2
ISSN
0888-3785
NIOSH Division
TURC
Source Name
AI Expert
State
AL
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