Hybrid particle swarm optimization and pattern search algorithm

Particle swarm optimization (PSO) is one of the most commonly used stochastic optimization algorithms for many researchers and scientists of the last two decades, and the pattern search (PS) method is one of the most important local optimization algorithms. In this paper, we test three methods of hy...

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Bibliographic Details
Published in:	Optimization and engineering Vol. 22; no. 3; pp. 1539 - 1555
Main Authors:	Koessler, Eric, Almomani, Ahmad
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2021 Springer Nature B.V
Subjects:	Control Engineering Environmental Management Financial Engineering Genetic algorithms Local optimization Mathematics Mathematics and Statistics Minima Operations Research/Decision Theory Optimization Optimization algorithms Particle swarm optimization Pattern search Research Article Robustness (mathematics) Search algorithms Systems Theory Pattern search Test problem benchmarking Particle swarm optimization Hybrid algorithm Derivative-free optimization
ISSN:	1389-4420, 1573-2924
Online Access:	Get full text
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