Applying Fuzzy CoCo to breast cancer diagnosis

C. Peña-Reyes, M. Sipper
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引用次数: 29

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.
模糊CoCo在乳腺癌诊断中的应用
在过去的几年里,协同进化算法在进化计算领域受到了越来越多的关注。我们将协同进化计算的搜索能力与模糊系统的表达能力相结合,引入了一种新的算法fuzzy CoCo:模糊协同协同进化。我们通过将模糊CoCo应用于一个困难的、现实世界的问题——乳腺癌诊断——来证明它的有效性,它获得了迄今为止最好的结果,同时花费了比以前更少的计算工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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