Abstract
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.
Original language | English |
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Pages | 1168-1175 |
Number of pages | 8 |
State | Published - 3 Dec 2000 |
Externally published | Yes |
Event | Proceedings of the 2000 Congress on Evolutionary Computation - California, CA, USA Duration: 16 Jul 2000 → 19 Jul 2000 |
Conference
Conference | Proceedings of the 2000 Congress on Evolutionary Computation |
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City | California, CA, USA |
Period | 16/07/00 → 19/07/00 |
ASJC Scopus subject areas
- General Engineering
- General Computer Science
- Computational Theory and Mathematics