EQML- An Evolutionary Qualitative Model Learning Framework

Wei Pang, George MacLeod Coghill

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, an Evolutionary Qualitative Model Learning Framework (EQML) is proposed and tested by learning the qualitative metabolic models under the condition of incomplete knowledge. JMorven, a fuzzy qualitative reasoning engine, is slightly modified and integrated into the framework as a sub module to represent and verify the learnt models. Three metabolic compartment models are tested by two evolutionary algorithms (Genetic Algorithm and Clonal Selection Algorithm) in EQML. Finally the efficiency of these two algorithms is evaluated.
Original languageEnglish
Publication statusPublished - 2006
Event2nd European Symposium on Nature-inspired Smart Information Systems 2006 - Tenerife, Spain
Duration: 29 Nov 20062 Dec 2006

Conference

Conference2nd European Symposium on Nature-inspired Smart Information Systems 2006
CountrySpain
CityTenerife
Period29/11/062/12/06

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