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Extension of the firefly algorithm and preference rules for solving MINLP problems

Costa, M. Fernanda P. ; Francisco, Rogério B. ; Rocha, Ana Maria A. C. ; Fernandes, Edite M. G. P. Simos, Theodore ; Tsitouras, Charalambos

AIP Conference Proceedings, 2017, Vol.1863 (1) [Periódico revisado por pares]

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Título:
Extension of the firefly algorithm and preference rules for solving MINLP problems
Autor: Costa, M. Fernanda P. ; Francisco, Rogério B. ; Rocha, Ana Maria A. C. ; Fernandes, Edite M. G. P.
Simos, Theodore ; Tsitouras, Charalambos
Assuntos: Algorithms ; Heuristic methods ; Nonlinear programming ; Penalty function
É parte de: AIP Conference Proceedings, 2017, Vol.1863 (1)
Descrição: An extension of the firefly algorithm (FA) for solving mixed-integer nonlinear programming (MINLP) problems is presented. Although penalty functions are nowadays frequently used to handle integrality conditions and inequality and equality constraints, this paper proposes the implementation within the FA of a simple rounded-based heuristic and four preference rules to find and converge to MINLP feasible solutions. Preliminary numerical experiments are carried out to validate the proposed methodology.
Editor: Melville: American Institute of Physics
Idioma: Inglês

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