Self-adaptive combination of global tabu search and local search for nonlinear equations


Autoria(s): Ramadas, Gisela C. V.; Fernandes, Edite M. G. P.
Data(s)

25/02/2014

25/02/2014

2012

Resumo

Solving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.

Identificador

DOI 10.1080/00207160.2012.687727

0020-7160

1029-0265

http://hdl.handle.net/10400.22/4067

Idioma(s)

eng

Publicador

Taylor & Francis

Relação

International Journal of Computer Mathematics; Vol. 89, Issue 13-14

http://www.tandfonline.com/doi/abs/10.1080/00207160.2012.687727#.UwyAgM5qyZR

Direitos

openAccess

Palavras-Chave #Nonlinear equations #Metaheuristic #Tabu search #Hooke and Jeeves method
Tipo

article