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- W2024108781 abstract "This paper presents variable neighborhood search (VNS) for the problem of finding the global minimum of a nonconvex function. The variable neighborhood search, which changes systematically neighborhood structures in the search for finding a better solution, is used to guide a set of standard improvement heuristics. This algorithm was tested on some standard test functions, and successful results were obtained. Its performance was compared with the other algorithms, and observed to be better." @default.
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- W2024108781 date "2007-04-01" @default.
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- W2024108781 title "Solving the unconstrained optimization problem by a variable neighborhood search" @default.
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- W2024108781 doi "https://doi.org/10.1016/j.jmaa.2006.06.025" @default.
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