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
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