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 Evolution strategies in optimization problems
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/4123

title: Evolution strategies in optimization problems
authors: Cruz, P.A.F.
Torres, D.F.M.
keywords: Discretization
Evolution strategies
Monte Carlo method
Optimal control
Random search
issue date: 2007
publisher: Estonian Academy Publishers
abstract: Evolution strategies are inspired in biology and form 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 one to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.
URI: http://hdl.handle.net/10773/4123
ISSN: 1406-0086
publisher version/DOI: http://www.kirj.ee/public/Phys_Math/2007/issue_4/phys-2007-4-3.pdf
source: Proceedings of the Estonian Academy of Sciences: Physics, Mathematics
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