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

Sanchari Deb; Xiao Zhi Gao; Kari Tammi; Karuna Kalita; Pinakeswar Mahanta

doi:10.1007/s10462-019-09718-3

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

Sanchari Deb^*, Xiao Zhi Gao, Kari Tammi, Karuna Kalita, Pinakeswar Mahanta

^*Corresponding author for this work

Department of Mechanical Engineering

Research output: Contribution to journal › Review Article › peer-review

51 Citations (Scopus)

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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.

Original language	English
Pages (from-to)	1737-1765
Number of pages	29
Journal	Artificial Intelligence Review
Volume	53
Issue number	3
Early online date	23 May 2019
DOIs	https://doi.org/10.1007/s10462-019-09718-3
Publication status	Published - 1 Mar 2020
MoE publication type	A2 Review article, Literature review, Systematic review

Keywords

Applications
Chicken Swarm Optimization algorithm
Nature inspired intelligence
Optimization algorithm
Review

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10.1007/s10462-019-09718-3

ENG_Deb_et_al_Recent_studies_on_chicken_swarm_Artificial_Intelligence_ReviewAccepted author manuscript, 1.84 MBLicence: Unspecified

Cite this

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AU - Mahanta, Pinakeswar

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

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Keywords

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