• DocumentCode
    2028264
  • Title

    Modified edge recombination operators of genetic algorithms for the traveling salesman problem

  • Author

    Nguyen, H.D. ; Yoshihara, I. ; Yasunaga, M.

  • Author_Institution
    Fac. of Eng., Miyazaki Univ., Japan
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2815
  • Abstract
    This paper describes improvements or edge recombination operators,for solving the traveling salesman problem using a genetic algorithm. The proposed operators were embedded to the GENITOR program to compare with other crossovers. The method was evaluated on a number of well-known benchmarks, e.g. gr96.tsp, d198.tsp, and pcb442.tsp in the TSPLIB. Experimental results show that the modified edge recombination operators have lower,failure rates arid are superior to the conventional edge recombination operators, especially in larger problems. Moreover, they outperform other conventional crossovers in all tested problems
  • Keywords
    genetic algorithms; travelling salesman problems; GA; GENITOR program; TSP; TSPLIB; crossovers; d198.tsp; genetic algorithms; gr96.tsp; modified edge recombination operators; pcb442.tsp; traveling salesman problem; Benchmark testing; Cities and towns; Genetic algorithms; Genetic engineering; Joining processes; NP-complete problem; Optimization methods; Search methods; Spontaneous emission; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972444
  • Filename
    972444