Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling

Research output: Contribution to conferenceAbstractpeer-review

Abstract

In this paper we report on the use of evolutionary algorithms for optimizing the identification of classification models for selected tumor markers. Our goal is to identify mathematical models that can be used for classifying tumor marker values as normal or as elevated; evolutionary algorithms are used for optimizing the parameters for learning classification models. The sets of variables used as well as the parameter settings for concrete modeling methods are optimized using evolution strategies and genetic algorithms. The performance of these algorithms is analyzed as well as the population diversity progress.
Original languageEnglish
Number of pages4
Publication statusPublished - 2011
Event13th International Conference on Computer Aided Systems Theory EUROCAST 2011 - Las Palmas, Spain
Duration: 6 Feb 201111 Feb 2011

Conference

Conference13th International Conference on Computer Aided Systems Theory EUROCAST 2011
CountrySpain
CityLas Palmas
Period06.02.201111.02.2011

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