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• W3080596021 startingPage "125596" @default.
• W3080596021 abstract "In this paper, two different acceleration techniques for a deterministic DIRECT (DIviding RECTangles)-type global optimization algorithm, DIRECT-GLce, are considered. We adopt dynamic data structures for better memory usage in MATLAB implementation. We also study shared and distributed parallel implementations of the original DIRECT-GLce algorithm, and a distributed parallel version for the aggressive counterpart. The efficiency of DIRECT-type parallel versions is evaluated solving box- and generally constrained global optimizations problems with varying complexity, including a practical NASA speed reducer design problem. Numerical results show a good efficiency, especially for the distributed parallel version of the original DIRECT-GLce on a multi-core PC." @default.
• W3080596021 created "2020-09-01" @default.
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• W3080596021 date "2021-02-01" @default.
• W3080596021 modified "2023-10-06" @default.
• W3080596021 title "On MATLAB experience in accelerating DIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization" @default.
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• W3080596021 doi "https://doi.org/10.1016/j.amc.2020.125596" @default.
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