Salp swarm algorithm: a comprehensive survey

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 optimi...

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Vydáno v:Neural computing & applications Ročník 32; číslo 15; s. 11195 - 11215
Hlavní autoři: Abualigah, Laith, Shehab, Mohammad, Alshinwan, Mohammad, Alabool, Hamzeh
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Springer London 01.08.2020
Springer Nature B.V
Témata:
Algorithms
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Decision making
Design engineering
Engineering education
Foraging behavior
Heuristic methods
Image processing
Image Processing and Computer Vision
Informatics
Literature reviews
Machine learning
Optimization
Optimization algorithms
Optimization techniques
Organisms
Plankton
Probability and Statistics in Computer Science
Review Article
Salp swarm algorithm
Bio-inspired algorithms
Meta-heuristic optimization algorithms
Optimization problems
ISSN:0941-0643, 1433-3058
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Shrnutí: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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ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-019-04629-4