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Artificial Intelligence Review

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23-05-2019

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

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

Published in: Artificial Intelligence Review | Issue 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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Title: Recent Studies on Chicken Swarm Optimization algorithm: a review (2014–2018)
Authors: Sanchari Deb
Xiao-Zhi Gao
Kari Tammi
Karuna Kalita
Pinakeswar Mahanta
Publication date: 23-05-2019
Publisher: Springer Netherlands
Published in: Artificial Intelligence Review / Issue 3/2020
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-019-09718-3

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