Título: Application of the Fish School Search for the Supply Chain Network Planning Problem
Autores: Hellingrath, Bernd; Horstkemper, Dennis; Braga, Diego de S.; Pessoa, Luis Filipe de A.; Lima Neto, Fernando Buarque de; Lacerda, Marcelo Gomes Pereira de
Resumo: The Fish School Search (FSS) is a recently proposed meta-heuristic, which is inspired by the collective behavior of fish schools during their search for food. This optimization technique has been showing promising results when applied to benchmarking problems. Moreover, the FSS has been especially designed to tackle complex problems, especially ones with large search spaces like they are found in the area of Supply Chain Management. As such, the Supply Chain Network Planning (SCNP) problem was chosen as an NP-hard optimization problem to evaluate the applicability of the FSS in this problem domain. Additionally, other state-of-the-art meta-heuristics used for optimization problems (Particle Swarm Optimization and Differential Evolution), as well as a stateof-the art mathematical optimization technique were applied to solve the same planning problem in order to determine the relative performance of the FSS algorithm for this class of problems.
Palavras-chave: Fish School Search; Meta-heuristics; Computational Intelligence; Supply Chain Management; Supply Chain Network Planning; Bio-inspired Methods
Código DOI: 10.21528/CBIC2013-291
Artigo em pdf: bricsccicbic2013_submission_291.pdf
Arquivo BibTex: bricsccicbic2013_submission_291.bib