Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems

Ricardo Soto, Broderick Crawford, Boris Almonacid, Fernando Paredes

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

13 Citas (Scopus)

Resumen

The Machine-Part Cell Formation Problem (MPCFP) is a NP-Hard optimization problem that consists in grouping machines and parts in a set of cells, so that each cell can operate independently and the intercell movements are minimized. This problem has largely been tackled in the literature by using different techniques ranging from classic methods such as linear programming to more modern nature-inspired metaheuristics. In this paper, we present an efficient parallel version of the Migrating Birds Optimization metaheuristic for solving the MPCFP. Migrating Birds Optimization is a population metaheuristic based on the V-Flight formation of the migrating birds, which is proven to be an effective formation in energy saving. This approach is enhanced by the smart incorporation of parallel procedures that notably improve performance of the several sorting processes performed by the metaheuristic. We perform computational experiments on 1080 benchmarks resulting from the combination of 90 well-known MPCFP instances with 12 sorting configurations with and without threads. We illustrate promising results where the proposal is able to reach the global optimum in all instances, while the solving time with respect to a nonparallel approach is notably reduced.

Idioma originalInglés
Número de artículo9402503
PublicaciónScientific Programming
Volumen2016
DOI
EstadoPublicada - 2016
Publicado de forma externa

Huella

Profundice en los temas de investigación de 'Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems'. En conjunto forman una huella única.

Citar esto