A new bio-inspired algorithm: Chicken swarm optimization

Xianbing Meng, Yu Liu, Xiaozhi Gao, Hengzhen Zhang

Research output: Contribution to journalArticleScientificpeer-review

320 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)86-94
Number of pages9
JournalLecture Notes in Computer Science
Volume8794
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Keywords

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

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