• DocumentCode
    526909
  • Title

    A novel method for solving knapsack problem base on Hybrid Genetic Algorithm

  • Author

    Wng Jianliang ; Sun Qiuyun ; Jia Haipeng

  • Author_Institution
    Dept. of Manage. & Inf., Shandong Jiaotong Vocational Coll., Weifang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    34
  • Lastpage
    36
  • Abstract
    Knapsack problem is a typical computer algorithm of NP complete (Nondeterministic Polynomial Completeness) problem. The research of solving this problem has great significance not only in theory, but also in application, for example, resource management, investment decisions and so on. For solving this problem, scholars have developed a number of algorithms, however, they are all have some drawbacks. This paper represents a greedy Genetic Algorithm based on Hybrid Algorithm through the study of Genetic Algorithm and Hybrid Algorithm to solve the knapsack problem, and also demonstrate its feasibility and effectiveness throng an example.
  • Keywords
    computational complexity; genetic algorithms; greedy algorithms; knapsack problems; NP complete; genetic algorithm; greedy algorithm; hybrid algorithm; knapsack problem; nondeterministic polynomial completeness; Algorithm design and analysis; Educational institutions; Sun; Genetic Algorithm; Hybrid Algorithm; genetic operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565919
  • Filename
    5565919