Genetic algorithms and optimal control problems

Z. Michalewicz, J.B. Krawczyk, M. Kazemi, C.Z. Janikow

Research output: Contribution to journalArticlepeer-review

Abstract

The application of the genetic algorithm to discrete-time optimal control problems is studied. The numerical results obtained are compared with a system for construction and solution of large and complex mathematical programming models, GAMS. It is shown that while GAMS appears to work well only for linear-quadratic optimal control problems or problems with a short horizon, the genetic algorithm applies to more general problems and appears to be competitive with search-based methods.
Original languageAmerican English
JournalConference on Decision and Control
DOIs
StatePublished - Jan 1 1990
Externally publishedYes

Disciplines

  • Applied Mathematics
  • Computer Sciences
  • Artificial Intelligence and Robotics

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