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Erschienen in: Artificial Intelligence Review 3/2020

23.05.2019

Recent Studies on Chicken Swarm Optimization algorithm: a review (2014–2018)

verfasst von: Sanchari Deb, Xiao-Zhi Gao, Kari Tammi, Karuna Kalita, Pinakeswar Mahanta

Erschienen in: Artificial Intelligence Review | Ausgabe 3/2020

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Abstract

Solving a complex optimization problem in a limited timeframe is a tedious task. Conventional gradient-based optimization algorithms have their limitations in solving complex problems such as unit commitment, microgrid planning, vehicle routing, feature selection, and community detection in social networks. In recent years population-based bio-inspired algorithms have demonstrated competitive performance on a wide range of optimization problems. Chicken Swarm Optimization Algorithm (CSO) is one of such bio-inspired meta-heuristic algorithms mimicking the behaviour of chicken swarm. It is reported in many literature that CSO outperforms a number of well-known meta-heuristics in a wide range of benchmark problems. This paper presents a review of various issues related to CSO like general biology, fundamentals, variants of CSO, performance of CSO, and applications of CSO.

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Metadaten
Titel
Recent Studies on Chicken Swarm Optimization algorithm: a review (2014–2018)
verfasst von
Sanchari Deb
Xiao-Zhi Gao
Kari Tammi
Karuna Kalita
Pinakeswar Mahanta
Publikationsdatum
23.05.2019
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 3/2020
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-019-09718-3

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