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A modified genetic algorithm for optimal control problems
Authors:Zbigniew Michalewicz
Affiliation:

Department of Computer Science, University of North Carolina, Charlotte, NC 28223, U.S.A.

Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599-3175, U.S.A.

Faculty of Commerce and Administration, Quantitative Studies Group Victoria University of Wellington, PO Box 600, Wellington, New Zealand

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.
Keywords:
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