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- W2006736794 abstract "An extensive particle swarm artificial bee colony algorithm is proposed, which integrates the global best solution into the solution search equation of artificial bee colony to improve the exploitation. The memory weight and neighborhood dynamic step are introduced to keep the balance between the global search and local search, and to improve the search accuracy. Particle swarm optimization is embedded into the modified algorithm for on-line parameter optimizing. The simulations have shown that the new algorithm outperforms the ABC algorithm on search accuracy, convergence rate and global search capability. It has been found many applications in optimization of manufacturing and design process." @default.
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- W2006736794 date "2014-01-01" @default.
- W2006736794 modified "2023-09-26" @default.
- W2006736794 title "Extensive Particle Swarm Artificial Bee Colony Algorithm for Function Optimization" @default.
- W2006736794 doi "https://doi.org/10.4028/www.scientific.net/amm.496-500.1808" @default.
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