A new fusion of salp swarm with sine cosine for optimization of non-linear functions

The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for improving the convergence performance with the exploration and exploitation being superior to other comparative standar...

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Vydáno v:	Engineering with computers Ročník 36; číslo 1; s. 185 - 212
Hlavní autoři:	Singh, Narinder, Son, Le Hoang, Chiclana, Francisco, Magnot, Jean-Pierre
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.01.2020 Springer Nature B.V Springer Verlag
Témata:	Algorithms Analysis of PDEs Basic converters Business administration CAE) and Design Calculus of Variations and Optimal Control; Optimization Cantilever beams Chaotic Dynamics Classical Mechanics Compression springs Computer Science Computer-Aided Engineering (CAD Control Convergence Differential Geometry Exactly Solvable and Integrable Systems Exploitation Exploration General Mathematics Heuristic methods Humanities and Social Sciences Library and information sciences Linear functions Math. Applications in Chemistry Mathematical analysis Mathematical and Computational Engineering Mathematical Physics Mathematics Metric Geometry Nonlinear Sciences Operator Algebras Optimization Original Article Pattern Formation and Solitons Physics Quantum Physics Searching Spectral Theory Systems Theory Trigonometric functions Salp swarm algorithm Exploration and exploitation Standard global optimization functions Sine cosine algorithm Heuristic hybridization
ISSN:	0177-0667, 1435-5663
On-line přístup:	Získat plný text
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