A New Bio-inspired Algorithm: Chicken Swarm Optimization

By Xianbing Meng, Yu Liu, X. Gao, Hengzhen Zhang. International Conference on Swarm Intelligence, 2014

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Swarm Intelligence Algorithms for Feature Selection: A Review (2018, methodology): “ABC Artificial Bee Colony Algorithm [112] ABO African Buffalo Optimization [113] ACO Ant Colony Optimization [8] AFSA Artificial Fish Swarm Algorithm [114] ALO Antlion Optimizer [115] BA Bat Algorithm [116] BA* Bees Algorithm [117] BA** Beaver Algorithm [118] BBMO Bumble Bees Mating Optimization [11”
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm (2019, background): “2014 142 [79] Grey wolf optimizer Mirjalili et al.”
Monarch butterfly optimization (2015, unknown): “Inspired by this phenomenon, the ACO algorithm [11] is proposed by Dorigo et al. Recently, more superior SI algorithms have been proposed, such as artificial bee colony (ABC) [13, 14], cuckoo search (CS) [15– 19], bat algorithm (BA) [20–22], grey wolf optimizer (GWO) [23, 24], ant lion optimizer (AL”
Metaheuristic research: a comprehensive survey (2018, methodology): “…(Salcedo-Sanz et al. 2014) CrowSA Crow Search Algorithm (Askarzadeh 2016) CS Cuckoo Search (Yang and Deb 2014) CSO Chicken Swarm Optimization (Meng et al. 2014) CSOA Cat Swarm Optimization Algorithm (Crawford et al. 2015) CSS Charged System Search (Kaveh and Talatahari 2010) CyberSA Cyber…”