• DocumentCode
    2445430
  • Title

    Connectionist approach for global optimization

  • Author

    Babu, G. Phanendra ; Murty, M. Narasimha

  • Author_Institution
    Dept. of Comput. Sci. & Autom., Inst. of Sci., Bangalore, India
  • Volume
    7
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    4672
  • Abstract
    A connectionist approach for global optimization is proposed. The standard function set is tested. Results obtained, in the case of large scale problems, indicate excellent scalability of the proposed approach
  • Keywords
    constraint theory; neural nets; optimisation; connectionist approach; constraint; function set; global optimization; large scale problems; neural networks; nonlinear programming; scalability; simulated annealing; Automation; Computer science; Indexing; Minimization; Neural networks; Optimization methods; Scalability; Stochastic processes; Temperature; Testing;
  • 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.1994.375030
  • Filename
    375030
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2445430