ALTERNATIVE SAMPLING STRATEGY FOR A RANDOM OPTIMIZATION ALGORITHM

Artigo

Fecha

1993-08-01

Registro en:

Journal of Optimization Theory and Applications. New York: Plenum Publ Corp, v. 78, n. 2, p. 401-407, 1993.

0022-3239

http://hdl.handle.net/11449/37703

10.1007/BF00939677

WOS:A1993LZ35000011

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3909178

Autor

Universidade Estadual Paulista (Unesp)

Institución

Universidade Paulista Júlio de Mesquita Filho (Brasil)

Resumen

Alternative sampling procedures are compared to the pure random search method. It is shown that the efficiency of the algorithm can be improved with respect to the expected number of steps to reach an epsilon-neighborhood of the optimal point.

Materias

RANDOM OPTIMIZATION

SAMPLING STRATEGY

EXPECTED LENGTH

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