• DocumentCode
    469318
  • Title

    A Level Structure Based Hybrid Evolutionary Algorithm for the Edge Bisection Problem

  • Author

    Sharma, Reeti ; Srivastava, Kamal

  • Author_Institution
    Dayalbagh Educ. Inst., Agra
  • Volume
    2
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    146
  • Lastpage
    150
  • Abstract
    A hybrid evolutionary algorithm for the edge bisection problem of the graphs is proposed in this paper. The algorithm incorporates the idea of simulated annealing into the selection process of the evolution process. An important feature of this algorithm is that it explores the level structures of the graph to partition its vertex set. Experimental tests on benchmark graphs show that the proposed algorithm is able to provide good quality solutions and the results are well comparable with the best known results obtained from the existing techniques.
  • Keywords
    evolutionary computation; simulated annealing; edge bisection problem; level structure based hybrid evolutionary algorithm; simulated annealing; Ant colony optimization; Benchmark testing; Computational intelligence; Evolutionary computation; Genetic algorithms; Greedy algorithms; Mathematics; Partitioning algorithms; Simulated annealing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.195
  • Filename
    4426685