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- W3043161583 abstract "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." @default.
- W3043161583 created "2020-07-23" @default.
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- W3043161583 date "2020-06-01" @default.
- W3043161583 modified "2023-09-25" @default.
- W3043161583 title "Power System Optimization Based on Multi-agent Structure and Lion Swarm Optimization" @default.
- W3043161583 doi "https://doi.org/10.1088/1742-6596/1575/1/012222" @default.
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