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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Parallel Approaches for the Artificial Bee Colony Algorithm
verfasst von : Rafael Stubs Parpinelli, César Manuel Vargas Benitez, Heitor Silvério Lopes
Erschienen in: Handbook of Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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This work investigates the parallelization of the Artificial Bee Colony Algorithm. Besides a sequential version enhanced with local search, we compare three parallel models: master-slave, multi-hive with migrations, and hybrid hierarchical. Extensive experiments were done using three numerical benchmark functions with a high number of variables. Statistical results indicate that intensive local search improves the quality of solutions found and, thanks to the coevolution effect, the multi-population approaches obtain better quality with less computational effort. A final comparison between models was done analyzing the trade-offs between quality of solution and processing time.