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• W1998615420 abstract "In swarm intelligence algorithms, premature convergence happens partially due to the solutions getting clustered together, and not diverging again. However, solution clustering is not always harmful for optimization. The solution clustering strategy is utilized in brain storm optimization (BSO) to guide individuals to move toward the better and better areas. The information of clusters indicates the solutions' distribution in the search space, which could be utilized to reveal the landscapes and other proprieties of problems being optimized. In this paper, the solution clustering, and other properties of the brain storm optimization algorithm are analyzed and discussed. Experimental results show that brain storm optimization is a very promising algorithm for solving different kinds of problems." @default.
• W1998615420 created "2016-06-24" @default.
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• W1998615420 date "2013-04-01" @default.
• W1998615420 modified "2023-09-25" @default.
• W1998615420 title "Solution clustering analysis in brain storm optimization algorithm" @default.
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• W1998615420 doi "https://doi.org/10.1109/sis.2013.6615167" @default.
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