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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 15/2020

29.11.2019 | Review Article

Salp swarm algorithm: a comprehensive survey

verfasst von: Laith Abualigah, Mohammad Shehab, Mohammad Alshinwan, Hamzeh Alabool

Erschienen in: Neural Computing and Applications | Ausgabe 15/2020

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Abstract

This paper completely introduces an exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of the efficient recent meta-heuristic optimization algorithms, where it has been successfully utilized in a wide range of optimization problems in different fields, such as machine learning, engineering design, wireless networking, image processing, and power energy. This review shows the available literature on SSA, including its variants, like binary, modifications and multi-objective. Followed by its applications, assessment and evaluation, and finally the conclusions, which focus on the current works on SSA, suggest possible future research directions.
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Metadaten
Titel
Salp swarm algorithm: a comprehensive survey
verfasst von
Laith Abualigah
Mohammad Shehab
Mohammad Alshinwan
Hamzeh Alabool
Publikationsdatum
29.11.2019
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 15/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04629-4

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