Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow-Reference-Cited by-同舟云学术

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Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow

Published:2024-07 Issue: Volume:160 Page:111662
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Bai Wenlei^ORCID,Meng Fanlin,Sun Ming,Qin Haoxiang,Allmendinger Richard^ORCID,Lee Kwang Y.

Publisher

Elsevier BV

Reference42 articles.

1. Particle swarm optimization;Kennedy;IEEE Proc. Int. Conf. Neural Netw.,1995

2. Particle swarm optimization: a comprehensive study and analysis;Shami;IEEE Access,2022

3. PSO-X: a component-based framework for the automatic design of particle swarm optimization algorithms;Camacho-Villalón;IEEE Trans. Evolut.,2022

4. No free lunch theorem for optimization;Wolpert;IEEE Trans. Evolut. Comput.,1997

5. Inertia weight control strategies for particle swarm optimization;Harrison;Swarm Intell.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems;Scientific Reports;2024-08-21

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