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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Nonlinear equations Metaheuristic Tabu search Hooke and Jeeves method
Contexto Educativo
Citação
Editora
Taylor & Francis