• DocumentCode
    2444372
  • Title

    Applying Fuzzy CoCo to breast cancer diagnosis

  • Author

    Pena-Reyes, Carlos Andrés ; Sipper, Moshe

  • Author_Institution
    Logic Syst. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1168
  • Abstract
    Coevolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. We combine the search power of coevolutionary computation with the expressive power of fuzzy systems, introducing a novel algorithm, Fuzzy CoCo: Fuzzy Cooperative Coevolution. We demonstrate the efficacy of Fuzzy CoCo by applying it to a hard, real-world problem-breast cancer diagnosis-obtaining the best results to date while expending less computational effort than formerly
  • Keywords
    cancer; evolutionary computation; fuzzy logic; medical diagnostic computing; search problems; Fuzzy CoCo; Fuzzy Cooperative Coevolution; breast cancer diagnosis; coevolutionary algorithms; evolutionary computation; fuzzy systems; search; Boolean functions; Breast cancer; Costs; Engines; Evolutionary computation; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
  • Conference_Location
    La Jolla, CA
  • Print_ISBN
    0-7803-6375-2
  • Type

    conf

  • DOI
    10.1109/CEC.2000.870780
  • Filename
    870780