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A New Bio-inspired Algorithm: Chicken Swarm Optimization

  • Xianbing Meng
  • Yu Liu
  • Xiaozhi Gao
  • Hengzhen Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8794)

Abstract

A new bio-inspired algorithm, Chicken Swarm Optimization (CSO), is proposed for optimization applications. Mimicking the hierarchal order in the chicken swarm and the behaviors of the chicken swarm, including roosters, hens and chicks, CSO can efficiently extract the chickens’ swarm intelligence to optimize problems. Experiments on twelve benchmark problems and a speed reducer design were conducted to compare the performance of CSO with that of other algorithms. The results show that CSO can achieve good optimization results in terms of both optimization accuracy and robustness. Future researches about CSO are finally suggested.

Keywords

Hierarchal order Chickens’ behaviors Swarm intelligence Chicken Swarm Optimization Optimization applications 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xianbing Meng
    • 1
    • 2
  • Yu Liu
    • 2
  • Xiaozhi Gao
    • 1
    • 3
  • Hengzhen Zhang
    • 1
  1. 1.College of Information EngineeringShanghai Maritime UniversityShanghaiP.R. China
  2. 2.Chengdu Green Energy and Green Manufacturing R&D CenterChengduP.R. China
  3. 3.Department of Electrical Engineering and AutomationAalto University School of Electrical EngineeringAaltoFinland

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