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- W2023144546 abstract "The harmony search (HS) method is an emerging meta-heuristic optimization algorithm. However, like most of the evolutionary computation techniques, it sometimes suffers from a rather slow search speed, and fails to find the global optimum in an efficient way. In this article, a hybrid optimization approach is proposed and studied, in which the HS is merged together with the opposition-based learning (OBL). The modified HS, namely HS-OBL, has an improved convergence property. Optimization of 24 typical benchmark functions and an optimal wind generator design case study demonstrate that the HS-OBL can indeed yield a superior optimization performance over the regular HS method." @default.
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- W2023144546 date "2012-08-01" @default.
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- W2023144546 title "A hybrid optimization method of harmony search and opposition-based learning" @default.
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- W2023144546 doi "https://doi.org/10.1080/0305215x.2011.628387" @default.
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