• DocumentCode
    2445367
  • Title

    Comparison of neural network and genetic algorithms for a resource allocation problem

  • Author

    Owechko, Yuri ; Shams, Soheil

  • Author_Institution
    Hughes Res. Labs., Malibu, CA, USA
  • Volume
    7
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    4655
  • Abstract
    We compare neural network and genetic algorithm solutions of a resource allocation problem and discuss the relative asymptotic scaling of the two approaches in terms of time and space complexity. We show that for this problem neural networks and genetic algorithms perform similarly
  • Keywords
    computational complexity; genetic algorithms; neural nets; resource allocation; asymptotic scaling; genetic algorithms; neural network; resource allocation problem; space complexity; time complexity; Artificial neural networks; Computer networks; Constraint optimization; Equations; Genetic algorithms; Hopfield neural networks; Laboratories; Neural networks; Resource management; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.375027
  • Filename
    375027
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2445367