Genetic algorithms in control systems engineering
Genetic algorithms in control systems engineering
Developments in computational models of evolutionary processes have led to the realization of powerful, robust, and general optimization and adaptive systems collectively called evolutionary algorithms. In this paper, we consider one member of this class of algorithms, the genetic algorithm, and describe the features and characteristics that are particularly appropriate for applications in control systems engineering. The versatility and robust qualities of the algorithm are considered and a number of application areas described. Some prospective future directions are also identified
88-94
Chipperfield, A.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.
46020af6-1380-408f-a223-23225a98a61f
1995
Chipperfield, A.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.
46020af6-1380-408f-a223-23225a98a61f
Chipperfield, A. and Fleming, P.
(1995)
Genetic algorithms in control systems engineering.
Control and computers, 23 (3), .
Abstract
Developments in computational models of evolutionary processes have led to the realization of powerful, robust, and general optimization and adaptive systems collectively called evolutionary algorithms. In this paper, we consider one member of this class of algorithms, the genetic algorithm, and describe the features and characteristics that are particularly appropriate for applications in control systems engineering. The versatility and robust qualities of the algorithm are considered and a number of application areas described. Some prospective future directions are also identified
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Published date: 1995
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Local EPrints ID: 470204
URI: http://eprints.soton.ac.uk/id/eprint/470204
PURE UUID: 4ae4695f-2af6-4b83-938f-3330b357a118
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Date deposited: 04 Oct 2022 16:49
Last modified: 23 Feb 2023 02:45
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P. Fleming
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