Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1848
Título: Derivative-free optimization and filter methods to solve nonlinear constrained problems
Autor: Correia, Aldina
Matias, João
Mestre, Pedro
Serôdio, Carlos
Palavras-chave: Nonlinear constrained optimization
Filter methods
Direct search methods
Data: 2009
Editora: Taylor & Francis
Relatório da Série N.º: International Journal of Computer Mathematics; Nº 10-11
Resumo: In real optimization problems, usually the analytical expression of the objective function is not known, nor its derivatives, or they are complex. In these cases it becomes essential to use optimization methods where the calculation of the derivatives, or the verification of their existence, is not necessary: the Direct Search Methods or Derivative-free Methods are one solution. When the problem has constraints, penalty functions are often used. Unfortunately the choice of the penalty parameters is, frequently, very difficult, because most strategies for choosing it are heuristics strategies. As an alternative to penalty function appeared the filter methods. A filter algorithm introduces a function that aggregates the constrained violations and constructs a biobjective problem. In this problem the step is accepted if it either reduces the objective function or the constrained violation. This implies that the filter methods are less parameter dependent than a penalty function. In this work, we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of the simplex method and filter methods. This method does not compute or approximate any derivatives, penalty constants or Lagrange multipliers. The basic idea of simplex filter algorithm is to construct an initial simplex and use the simplex to drive the search. We illustrate the behavior of our algorithm through some examples. The proposed methods were implemented in Java.
Peer review: yes
URI: http://hdl.handle.net/10400.22/1848
ISSN: 0020-7160
Versão do Editor: http://www.tandfonline.com/doi/abs/10.1080/00207160902775090#.UffsYqwpiRN
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ESTGF - CNE - Artigos

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