Evolution strategies in optimization problems

• Autor(es): Cruz, P.A.F. ; Torres, D.F.M.
• Data: 2007
• Identificador Persistente: http://hdl.handle.net/10773/4123
• Origem: RIA - Repositório Institucional da Universidade de Aveiro
• Assunto(s): Discretization; Evolution strategies; Monte Carlo method; Optimal control; Random search
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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. CEOC FCT FEDER/POCI 2010