Easy Particle Swarm Optimization for Nonlinear Constrained Optimization Problems

Particle swarm optimization (PSO) is a popular stochastic approach for solving practical optimal problems from industries due to its effective performance and few hyperparameters. Nonlinear constrained optimization (NCO) problems frequently cause multiple optimal regions and can cause many infeasibl...

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Autori principali:	Hsuan-Yu Tseng, Pao-Hsien Chu, Hao-Chun Lu, Ming-Jyh Tsai
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2021-01-01
Serie:	IEEE Access
Soggetti:	Particle swarm optimization easy particles exploration premature convergence nonlinear constrained optimization problems
Accesso online:	https://ieeexplore.ieee.org/document/9530428/
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