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Genetic Learning Particle Swarm Optimization - IEEE Xplore
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(PDF) Genetic Learning Particle Swarm Optimization
ResearchGate
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ResearchGate
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2024年10月22日 — This paper presents the novel particle swarm optimization technique to determine the optimum switching angles of multilevel converters so as to ...
Genetic Learning Particle Swarm Optimization with ...
Springer
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由 B Borowska 著作2020被引用 11 次 — Genetic learning particle swarm optimization (GL-PSO) is a hybrid optimization method based on particle swarm optimization (PSO) and genetic ...
Global genetic learning particle swarm optimization with ...
ScienceDirect.com
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由 A Lin 著作2019被引用 114 次 — Genetic learning particle swarm optimization (GL-PSO) improves the performance of particle swarm optimization (PSO) by breeding superior exemplars to guide ...
Genetic Learning Particle Swarm Optimization
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由 YJ Gong 著作2015被引用 584 次 — Abstract—Social learning in particle swarm optimiza- tion (PSO) helps collective efficiency, whereas individual repro- duction in genetic algorithm (GA) ...
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Genetic Learning Particle Swarm Optimization
澳門大學學者庫
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澳門大學學者庫
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由 G Yuejiao 著作2016被引用 584 次 — ISSN, 21682267 ; Volume, 46Issue:10Pages:2277 ; Abstract. Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual ...
Dynamic neighborhood genetic learning particle swarm ...
ScienceDirect.com
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ScienceDirect.com
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由 XU Jinquan 著作2022被引用 8 次 — This paper proposes a novel Dynamic Neighborhood Genetic Learning Particle Swarm Optimization (DNGL-PSO) for the motor design
Genetic Algorithm‐Based Particle Swarm Optimization ...
Wiley Online Library
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由 M Wang 著作2019被引用 43 次 — In this study, a mixed integer programming model is proposed to address timetable rescheduling problem under primary delays.
Genetic learning particle swarm optimization
University of Strathclyde
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University of Strathclyde
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由 YJ Gong 著作2016被引用 584 次 — The paradigm is composed of two cascading layers, the first for exemplar generation and the second for particle updates as per a normal PSO ...
Genetic Learning Particle Swarm Optimization with Diverse ...
Springer
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由 D Ren 著作2018被引用 1 次 — Particle swarm optimization (PSO) is a widely used heuristic algorithm. However, canonical PSO may lead to premature convergence.