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  • 标题:Advance approach of solving real coded optimization problem using modified ABC algorithm with crossover operators of GA
  • 本地全文:下载
  • 作者:Mrs. Shahana Gajala Qureshi ; Mrs. Uzma Ansari
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 出版社:Seventh Sense Research Group
  • 摘要:Artificial Bee Colony (ABC) algorithm is inhabitants based flock intelligence algorithm. There are many algorithms Present for solving numeric optimization problem.ABC is based on the intellectual behaviour of honey bee flock. In this work, ABC algorithm is used with Genetic crossover machinist and tested on standard benchmark functions, and also result compared with the XABC algorithm with the plus of fewer organize parameters. Obtained results show that the concert of the ABC with crossover gives better results than the XABC algorithm.
  • 关键词:Flock Intelligence; Artificial Bee Colony; Genetic Algorithm; Evolutionary Algorithm; Numerical Function Optimization
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