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  • 标题:Factors Influencing Performance of Firefly and Particle Swarm Optimization Algorithms
  • 本地全文:下载
  • 作者:Damanjeet Kaur
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:10
  • 页码:3559-3563
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:In this paper, two nature inspired meta heuristic approaches particle swarm optimization and firefly algorithm are discussed. Both the approaches are population based approaches and has wide applications in various problems. Various factors influencing its performance is compared on the basis of selection of size of population, number of iterations, quality of solution, convergence criterion and their simplicity of applicability on test functions. The performance of the two approaches is tested on different test functions.
  • 关键词:Firefly algorithm; Particle Swarm Optimization; ; Performance Parameters
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