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Updated: Sep 17, 2025

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基于改进的粒子群算法对选址和容量确定问题的研究

Xiaotong Mi1, Qinyang Liu1, Bo Geng1

  • 1Department of Physics and Electrics, Fuyang Normal University, Fuyang, 236037, China.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种改进的混合优化算法 (IPSOACO),用于高效的分布式电源集成. 该方法提高了能源传输效率,并降低了发电系统的成本.

关键词:
群优化算法 群优化算法粒子群算法 粒子群算法罚款功能是一个惩罚功能.反应功率校正反应功率校正定位和容量 定位和容量

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