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  • 标题:BACTERIAL FORAGING OPTIMIZATION ALGORITHM (BFOA) FOR GRAPH COLORING PROBLEM: A REVIEW
  • 本地全文:下载
  • 作者:Kiran Malik ; Dr. Sunita Choudhary ; Jyoti Malik
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:4
  • 出版社:Imperial Foundation
  • 摘要:Graph Coloring is a very active field of research to many practical applications as well as theoretical challenges. Bacterial Foraging Optimization Algorithms is an Artificial Intelligence technique that can be used to find appropriate solution to extremely difficult or impossible numeric maximization or minimization problem. BFOA is a probabilistic technique that models the food seeking & reproductive behavior of bacteria such as E-coli. BFO has been successfully applied in many areas and give the better results as compared to PSO and GA. Our main aim is to apply BFO for Graph Coloring Problem.
  • 关键词:Bacterial Foraging Optimization; Graph Coloring and Swarm Based Optimization.
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