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Corrigendum to "Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique" [Heliyon Volume 10, Issue 13, July 2024, Article e33952]. [PDF]

Heliyon
Singla MK, Gupta J, Parag N, Ekta T, Tella TG, Mosaad MI, Murodbek S.   +6 more
europepmc   +1 more source

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An improved particle swarm optimization algorithm

Applied Mathematics and Computation, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiang, Yan, Hu, Tiesong, Huang, Chongchao, Wu, Xianing   +3 more
openaire   +3 more sources

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter

Energy
Hui Pang, Kaiqiang Chen, Yu Geng, Longxing Wu, Fengbin Wang, Jiahao Liu   +5 more
semanticscholar   +3 more sources

An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation

IEEE Transactions on Power Electronics, 2012
Kashif Ishaque, Z. Salam, M. Amjad, S. Mekhilef   +3 more
semanticscholar   +3 more sources

An improved particle swarm optimization algorithm

2013 Ninth International Conference on Natural Computation (ICNC), 2013
Particles can remember some information in an optimization process. They learn by themselves and from other particles, so the next generation can inherit much information from their parents and finally find optimal solutions. But particles are also faced with two problems of stagnating in a local but not global optimum.
Huafen Yang, Dejian Kong, Zuyuan Yang, You Yang, Dechun Dong, Lihui Zhang   +5 more
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An improved particle swarm optimization algorithm

2011 International Conference on Electronics, Communications and Control (ICECC), 2011
Because the variable inertia weight particle swarm optimization algorithm is easy to fall into the local optimum, this paper introduces the improved simulated annealing operator, chaotic disturbance operator and Cauchy mutation operator to the former and proposes an improved particle swarm optimization algorithm; Then, two typical Benchmark functions ...
Yi Jin, Jiwu Wang, Lenan Wu
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Design of Permanent Magnet Synchronous Motor Servo System Based on Improved Particle Swarm Optimization

IEEE transactions on power electronics, 2022
In this article, an improved hybrid particle swarm optimization (IHPSO) algorithm is proposed to solve the optimization problem of controller parameters in the design of a permanent magnet synchronous motor (PMSM) servo system.
S. Fang, Yicheng Wang, Wei Wang, Youxu Chen, Yong Chen   +4 more
semanticscholar   +1 more source

An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems

IEEE Transactions on Power Systems, 2010
Jong-Bae Park, Yun-Won Jeong, Joong-Rin Shin, Kwang.Y. Lee   +3 more
semanticscholar   +3 more sources

Efficient path planning for UAV formation via comprehensively improved particle swarm optimization.

ISA transactions, 2020
Automatic generation of optimized flyable path is a key technology and challenge for autonomous unmanned aerial vehicle (UAV) formation system. Aiming to improve the rapidity and optimality of automatic path planner, this paper presents a three ...
Shikai Shao, Yu Peng, Chenglong He, Yun Du   +3 more
semanticscholar   +1 more source