• DocumentCode
    3422010
  • Title

    The improved genetic algorithm for solving knapsack problem based on Handel-C

  • Author

    Yang, Yi ; Fang, Qian-sheng

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Anhui Univ. of Archit., Hefei, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    702
  • Lastpage
    705
  • Abstract
    Knapsack problem is applied broadly to practice in resource allocation, investment decision-making, storage allocation, loading problem and so on. The paper adopts Handel-C language to program for the simple and improved genetic algorithm that solve knapsack problem. The procedures of the two algorithms are provided in detail in the paper. The improved genetic algorithm enhances obviously global search ability and converging velocity through contrasting the experiment results of the two algorithms. Thus the effectiveness of the improved algorithm is demonstrated.
  • Keywords
    C language; genetic algorithms; knapsack problems; Handel-C language; genetic algorithm; investment decision-making; knapsack problem; loading problem; resource allocation; storage allocation; Biological cells; Biological system modeling; Biology computing; Computational modeling; Computer languages; Decision making; Genetic algorithms; Hardware; Investments; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255033
  • Filename
    5255033