• DocumentCode
    3006097
  • Title

    A Novel Genetic Algorithm Based on Dynastic Changes Mechanism of Nation

  • Author

    Wang, Chao-Xue ; Li, Chang-Hua ; Qi, Fei ; Li, Zhi-Jie

  • Author_Institution
    Sch. of Inf. & Control Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an
  • fYear
    2008
  • fDate
    25-26 Sept. 2008
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    On the basis of the analysis of canonical genetic algorithm´s shortage, a novel genetic algorithm based on dynastic changes mechanism of nation (DCGA) is proposed. In DCGA, populations one by one evolve according to the relay race mode, by which the DCGA holds a mechanism of transferring from a local optimal solution to another better one and finally finding the global optimal solution under the guidance of knowledge, which is continuously updated along with the alternation of population evolution. To evaluate DCGA, TSP is applied. The results of simulation show that DCGA can avoid premature convergence and evolutionary stagnation efficiently and has the strong ability of realizing the global optimization.
  • Keywords
    genetic algorithms; travelling salesman problems; DCGA; TSP; canonical genetic algorithm; dynastic changes mechanism; evolutionary stagnation; global optimization; population evolution; premature convergence; travelling salesman problems; Algorithm design and analysis; Chaos; Computer architecture; Control engineering; Convergence; Design optimization; Gene therapy; Genetic algorithms; Information analysis; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3334-6
  • Type

    conf

  • DOI
    10.1109/WGEC.2008.29
  • Filename
    4637406