The Analysis Based on the Two Main Applications of Artificial Bee Colony Algorithm

Yanfei Wang (), Jun Xie and Zhengguang Xian
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Yanfei Wang: Capital Normal University
Jun Xie: Capital Normal University
Zhengguang Xian: Capital Normal University

A chapter in LISS 2012, 2013, pp 1397-1402 from Springer

Abstract: Abstract Artificial bee colony (ABC) algorithm is a relatively new swarm intelligence technique inspired by the intelligent foraging behavior of honey bees. It has shown better performance in many fields including constrained problems and clustering problems, than that of Evolutionary algorithms (EA), Particle Swarm Optimization (PSO) algorithm and Ant Colony Optimization (ACO) algorithm. This paper presents a research on the mechanism of ABC algorithm, analyses the features and disadvantages of two main applications, and provides a method to solve the question of setting parameters automatic.

Keywords: Swarm intelligence; ABC algorithm; Constrained problem; Clustering (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_198

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DOI: 10.1007/978-3-642-32054-5_198

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