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- W73058690 abstract "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." @default.
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- W73058690 date "2011-01-01" @default.
- W73058690 modified "2023-09-30" @default.
- W73058690 title "Parallel Approaches for the Artificial Bee Colony Algorithm" @default.
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- W73058690 doi "https://doi.org/10.1007/978-3-642-17390-5_14" @default.
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