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

In: Liss 2012

Author

Listed:
  • Yanfei Wang

    (Capital Normal University)

  • Jun Xie

    (Capital Normal University
    Tsinghua University)

  • Zhengguang Xian

    (Capital Normal University)

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.

Suggested Citation

  • Yanfei Wang & Jun Xie & Zhengguang Xian, 2013. "The Analysis Based on the Two Main Applications of Artificial Bee Colony Algorithm," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 1397-1402, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_198
    DOI: 10.1007/978-3-642-32054-5_198
    as

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