Zhongsheng Chen

Oct 23, 2024 | mdpi.com | Ling Zhang |Weipeng Li |Zhongsheng Chen |Zhaoqi Yin

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Oct 1, 2024 | mdpi.com | fan zhang |Zhongsheng Chen

1. IntroductionThe PSO algorithm is a population-based stochastic optimization technique developed by Kennedy and Eberhart in 1995 [1]. The algorithm is inspired by the behavior of birds foraging, and finds the optimal solution by simulating the process of particles moving in the search space. The PSO algorithm has the advantages of a simple implementation, high computational efficiency, and easy convergence, and has quickly become an effective tool to solve complex optimization problems.

Jun 3, 2024 | mdpi.com | Zhaoqi Yin |Weipeng Li |Zhongsheng Chen |Li Zhu

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.