| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 255.51 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The main goal of this paper is to analyze the behavior of nonmono-
tone hybrid tabu search approaches when solving systems of nonlinear
inequalities and equalities through the global optimization of an appro-
priate merit function. The algorithm combines global and local searches
and uses a nonmonotone reduction of the merit function to choose the
local search. Relaxing the condition aims to call the local search more
often and reduces the overall computational e ort. Two variants of a
perturbed pattern search method are implemented as local search. An
experimental study involving a variety of problems available in the lit-
erature is presented.
Descrição
Palavras-chave
Inequalities and equalities Tabu search Pattern search Merit function Nonmonotone condition
Contexto Educativo
Citação
Editora
Hikari Ltd