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.
|Number of pages||8|
|State||Published - 3 Dec 2000|
|Event||Proceedings of the 2000 Congress on Evolutionary Computation - California, CA, USA|
Duration: 16 Jul 2000 → 19 Jul 2000
|Conference||Proceedings of the 2000 Congress on Evolutionary Computation|
|City||California, CA, USA|
|Period||16/07/00 → 19/07/00|