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Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems
Joint Authors
Soto, Ricardo
Paredes, Fernando
Almonacid, Boris
Crawford, Broderick
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-39, 39 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-31
Country of Publication
Egypt
No. of Pages
39
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Soto, Ricardo& Crawford, Broderick& Almonacid, Boris& Paredes, Fernando. 2016. Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems. Scientific Programming،Vol. 2016, no. 2016, pp.1-39.
https://search.emarefa.net/detail/BIM-1118412
Modern Language Association (MLA)
Soto, Ricardo…[et al.]. Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems. Scientific Programming No. 2016 (2016), pp.1-39.
https://search.emarefa.net/detail/BIM-1118412
American Medical Association (AMA)
Soto, Ricardo& Crawford, Broderick& Almonacid, Boris& Paredes, Fernando. Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine-Part Cell Formation Problems. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-39.
https://search.emarefa.net/detail/BIM-1118412
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118412