Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling

نویسندگان

  • Carlos Andrés Peña-Reyes
  • Moshe Sipper
چکیده

Coevolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. In this paper, 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. Analyzing our results, we derive guidelines for setting the algorithm’s parameters given a (hard) problem to solve. We hope Fuzzy CoCo proves to be a powerful tool in the fuzzy modeler’s toolkit.

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عنوان ژورنال:
  • IEEE Trans. Fuzzy Systems

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2001