A modified genetic algorithm for optimal control problems

Zbigniew Michalewicz; Cezary Z. Janikow; Jacek B. Krawczyk

doi:10.1016/0898-1221(92)90094-X

A modified genetic algorithm for optimal control problems

Zbigniew Michalewicz, Cezary Z. Janikow, Jacek B. Krawczyk

Research output: Contribution to journal › Article › peer-review

Abstract

This paper studies the application of a genetic algorithm to discrete-time optimal control problems. Numerical results obtained here are compared with ones yielded by GAMS, a system for construction and solution of large and complex mathematical programming models. While GAMS appears to work well only for linear quadratic optimal control problems or problems with short horizon, the genetic algorithm applies to more general problems equally well.

Original language	American English
Journal	Computers & Mathematics With Applications
Volume	23
DOIs	https://doi.org/10.1016/0898-1221(92)90094-X
State	Published - Jan 6 1992
Externally published	Yes

Disciplines

Mathematics
Applied Mathematics

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title = "A modified genetic algorithm for optimal control problems",

abstract = " This paper studies the application of a genetic algorithm to discrete-time optimal control problems. Numerical results obtained here are compared with ones yielded by GAMS, a system for construction and solution of large and complex mathematical programming models. While GAMS appears to work well only for linear quadratic optimal control problems or problems with short horizon, the genetic algorithm applies to more general problems equally well. ",

author = "Zbigniew Michalewicz and Janikow, {Cezary Z.} and Krawczyk, {Jacek B.}",

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AU - Janikow, Cezary Z.

AU - Krawczyk, Jacek B.

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AB - This paper studies the application of a genetic algorithm to discrete-time optimal control problems. Numerical results obtained here are compared with ones yielded by GAMS, a system for construction and solution of large and complex mathematical programming models. While GAMS appears to work well only for linear quadratic optimal control problems or problems with short horizon, the genetic algorithm applies to more general problems equally well.

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U2 - 10.1016/0898-1221(92)90094-X

DO - 10.1016/0898-1221(92)90094-X

M3 - Article

VL - 23

JO - Computers & Mathematics With Applications

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A modified genetic algorithm for optimal control problems

Abstract

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