标题:Power System Optimization Based on Multi-agent Structure and Lion Swarm Optimization    (Open Access)
作者:Guo, Ying ;Jiang, Mingyan
通讯作者:Jiang, Mingyan
作者机构:[Guo, Ying ;Jiang, Mingyan ] School of Information Science and Engineering, Shandong University, Qingdao; 266237, China
会议名称:2020 5th Annual International Conference on Information System and Artificial Intelligence, ISAI 2020
会议日期:May 22, 2020 - May 23, 2020
来源:Journal of Physics: Conference Series
出版年:2020
卷:1575
期:1
DOI:10.1088/1742-6596/1575/1/012222
摘要:To improve the global exploration capability of lion swarm optimization, this paper presents a novel lion swarm optimization based on multi-agent structure. The new algorithm combines the lion swarm optimization and the multi-agent system in order to improve efficiency and accuracy. It could use the group information and environment information to determine the search strategy in the iterative process. In solving the economic load distribution problem of power system, the lion swarm optimization based on multi-agent structure has significantly improved performance compared with lion swarm optimization in terms of efficiency and robustness. The experimental results on power system prove the effectiveness of this new algorithm.
© 2020 Published under licence by IOP Publishing Ltd.
收录类别:EI
资源类型:会议论文
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