• DocumentCode
    3385632
  • Title

    Multi-population Binary Ant Colony Algorithm for the Horizontal Manufacturing Collaborative Alliance

  • Author

    Ping, Wei ; Xiong, Wei-qing

  • Author_Institution
    Inst. of Electron. Commerce & Logistics, Ningbo Univ., Zhejiang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    Horizontal Manufacturing Collaborative Alliance (HMCA) is to minimize the comprehensive cost and balance the production loads among the selected manufacturing enterprises. An algorithm named Multi-population Binary Ant Colony Algorithm with Hybrid Behaviors (MPBAHB) is designed. On the basis of Binary Ant Colony Algorithm (BACA), two strategies of zoning and environmental evaluation/reward were introduced to compensate for the difficulty of getting multiple solutions at the same time. Moreover, a searching behavior named “central disturbing” was introduced to BACA, so as to strengthen the searching ability. The experimental prove that the algorithm can get better solutions while keeping the distribution of Pareto front.
  • Keywords
    Pareto optimisation; manufacturing industries; Pareto front; central disturbing; horizontal manufacturing collaborative alliance; hybrid behaviors; manufacturing enterprises; multipopulation binary ant colony algorithm; production loads; Binary ant colony algorithm; Horizontal manufacturing collaborative alliance; Hybrid behavior; Multi-objective; Multi-population;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5654807
  • Filename
    5654807