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  • 标题:A Survey on the Applications of Bee Colony Optimization Techniques
  • 本地全文:下载
  • 作者:Dr. Arvinder Kaur ; Shivangi Goyal
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:8
  • 页码:3037-3046
  • 出版社:Engg Journals Publications
  • 摘要:In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the field of optimization problems because it provides immense problem solving scope for combinatorial and NP-hard problems. BCO is one of the benchmark systems portraying team work, collaborative work. BCO is a bottom-up approach of modeling where agents form global solution by optimizing the local solution.
  • 关键词:Evolutionary Computing (EC); Swarm Intelligence(SI); Bee Colony Optimization (BCO); Artificial Bee Colony Optimization (ABC)
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