Atom search optimization and its application to solve a hydrogeologic parameter estimation problem

In recent years, various metaheuristic optimization methods have been proposed in scientific and engineering fields. In this study, a novel physics-inspired metaheuristic optimization algorithm, atom search optimization (ASO), inspired by basic molecular dynamics, is developed to address a diverse s...

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Vydané v:	Knowledge-based systems Ročník 163; s. 283 - 304
Hlavní autori:	Zhao, Weiguo, Wang, Liying, Zhang, Zhenxing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.01.2019 Elsevier Science Ltd
Predmet:	Algorithms Atom search optimization Benchmark functions Engineering Estimating techniques Estimation Global optimization Heuristic algorithm Heuristic methods Lennard-Jones potential Mathematical models Metaheuristic Molecular dynamics Novels Optimization Optimization algorithm Optimization algorithms Parameter estimation Physics World problems Benchmark functions Optimization algorithm Global optimization Metaheuristic Parameter estimation Heuristic algorithm Atom search optimization
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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