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Hybridization of Harmony Search with Nelder-Mead Algorithm for Combined Heat and Power Economic Dispatch Problem
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摘要
A new hybridized algorithm is developed to solve the combined heat and power economic dispatch(CHPED) problem.Due to the non-convexity of the CHPED problem, the global optimum is difficult to achieve. The presented approach combines the algorithms of harmony search(HS) and Nelder-Mead(NM), and the hybridized algorithm is called the NM-HS algorithm. The hybridized NM-HS algorithm improves the efficiency of the two original algorithms, and also the robustness. Two benchmark examples demonstrate the good performance of the NM-HS algorithm. The solutions obtained is better than, or at least is the same as, other methods.
A new hybridized algorithm is developed to solve the combined heat and power economic dispatch(CHPED) problem.Due to the non-convexity of the CHPED problem, the global optimum is difficult to achieve. The presented approach combines the algorithms of harmony search(HS) and Nelder-Mead(NM), and the hybridized algorithm is called the NM-HS algorithm. The hybridized NM-HS algorithm improves the efficiency of the two original algorithms, and also the robustness. Two benchmark examples demonstrate the good performance of the NM-HS algorithm. The solutions obtained is better than, or at least is the same as, other methods.
引文
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