An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems.

An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems.

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An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A tr...

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Bibliographic Details
Main Authors: Hao Tian, Jia Guo, Haiyang Xiao, Ke Yan, Yuji Sato
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0271925

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