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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Vydané v:	Optimization and engineering Ročník 22; číslo 3; s. 1539 - 1555
Hlavní autori:	Koessler, Eric, Almomani, Ahmad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2021 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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