Evolution Strategies in Optimization Problems

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dc.creatorCruz, Pedro A. F.
dc.creatorTorres, Delfim F. M.
dc.date2007-09-07
dc.date.accessioned2026-07-07T08:51:27Z
dc.date.available2026-07-07T08:51:27Z
dc.descriptionEvolution Strategies are inspired in biology and part of a larger research field known as Evolutionary Algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.
dc.descriptionPartially presented at the 5th Junior European Meeting on "Control and Information Technology" (JEM'06), Sept 20-22, 2006, Tallinn, Estonia. To appear in "Proceedings of the Estonian Academy of Sciences -- Physics Mathematics"
dc.identifierhttps://arxiv.org/abs/0709.1020
dc.identifierhttp://arxiv.org/abs/0709.1020
dc.identifierProc. Estonian Acad. Sci. Phys. Math., 2007, 56(4), 299--309
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144940
dc.subjectOptimization and Control
dc.subject49M99; 90C59; 68W20
dc.titleEvolution Strategies in Optimization Problems
dc.typetext

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