EQML- An Evolutionary Qualitative Model Learning Framework

Wei Pang; George MacLeod Coghill

EQML- An Evolutionary Qualitative Model Learning Framework

Wei Pang
, George MacLeod Coghill

Research output: Contribution to conference › Paper › peer-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 language	English
Publication status	Published - 2006
Event	2nd European Symposium on Nature-inspired Smart Information Systems 2006 - Tenerife, Spain Duration: 29 Nov 2006 → 2 Dec 2006

Conference

Conference	2nd European Symposium on Nature-inspired Smart Information Systems 2006
Country/Territory	Spain
City	Tenerife
Period	29/11/06 → 2/12/06

Cite this

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title = "EQML- An Evolutionary Qualitative Model Learning Framework",

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.",

author = "Wei Pang and Coghill, \{George MacLeod\}",

year = "2006",

language = "English",

note = "2nd European Symposium on Nature-inspired Smart Information Systems 2006 ; Conference date: 29-11-2006 Through 02-12-2006",

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TY - CONF

T1 - EQML- An Evolutionary Qualitative Model Learning Framework

AU - Pang, Wei

AU - Coghill, George MacLeod

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

M3 - Paper

T2 - 2nd European Symposium on Nature-inspired Smart Information Systems 2006

Y2 - 29 November 2006 through 2 December 2006

ER -

EQML- An Evolutionary Qualitative Model Learning Framework

Abstract

Conference

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