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• W2795194880 abstract "The Relevance Index method has been shown to be effective in identifying Relevant Sets in complex systems, i.e., variable sub-sets that exhibit a coordinated behavior, along with a clear independence from the remaining variables. The need for computing the Relevance Index for each possible variable sub-set makes such a computation unfeasible, as the size of the system increases. Because of this, smart search methods are needed to analyze large-size systems using such an approach. Niching metaheuristics provide an effective solution to this problem, as they join search capabilities to good exploration properties, which allow them to explore different regions of the search space in parallel and converge onto several local/global minima." @default.
• W2795194880 created "2018-04-06" @default.
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• W2795194880 date "2018-01-01" @default.
• W2795194880 modified "2023-09-26" @default.
• W2795194880 title "Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO" @default.
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• W2795194880 doi "https://doi.org/10.1007/978-3-319-78658-2_23" @default.
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