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An Adaptive T-Distribution Variation Based HS Algorithm for Power System ED
Ma, Zhili2; Zhang, Xun1; Yuan, Hui1; Zhu, Xiaoqin1; Yang, Fan1; Zhang, Enzhan3; Zhang, Qiwen3; Yao, Yukai3
2021
会议日期November 22, 2019 - November 24, 2019
会议地点Xi'an, China
关键词Intelligent computing SchedulingAdaptive adjustment Economic scheduling Harmony search Optimal values Optimization algorithms Parameter dynamics Pitch adjustments Search efficiency
卷号1185
DOI10.1007/978-981-15-5887-0_18
页码125-133
英文摘要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. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
会议录Advances in Intelligent Systems and Computing
会议录出版者Springer Science and Business Media Deutschland GmbH
语种英语
ISSN号21945357
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/132631]  
专题计算机与通信学院
作者单位1.State Grid Gansu Electric Power Research Institute, Lanzhou; 730050, China;
2.State Grid Gansu Electric Power Company, Lanzhou; 730050, China;
3.Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Ma, Zhili,Zhang, Xun,Yuan, Hui,et al. An Adaptive T-Distribution Variation Based HS Algorithm for Power System ED[C]. 见:. Xi'an, China. November 22, 2019 - November 24, 2019.
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