Abstract
The HS (Harmony Search) is easy to get stuck at locally optimal value, an adaptive t-distribution mutation-based HS optimization algorithm is proposed to solve problems of the economic scheduling. In the algorithm, the adaptive t-distribution variation is worked on the arbitrary distance bandwidth to make it jump out of the local optimum. Combining Levy flight, a parameter dynamic self-adaptive adjustment strategy is given for harmony memory considering rate and pitch adjustment rate. It can avoid falling into local optimum and improves search efficiency. Compared with other methods, the proposed algorithm verifies the effectiveness and feasibility.
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Acknowledgements
Our work was supported by the project with the State Grid Gansu Electric Power Research Institute (No: SGGSKY00DJJS1800324).
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Ma, Z. et al. (2021). An Adaptive T-Distribution Variation Based HS Algorithm for Power System ED. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_18
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DOI: https://doi.org/10.1007/978-981-15-5887-0_18
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