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
Link To Document :
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