OPTIMIZATION OF SIMULATION-MODELS WITH GADELO - A MULTI-POPULATION GENETIC ALGORITHM

Authors
ELKETROUSSI M FAN DP
Citation
M. Elketroussi et Dp. Fan, OPTIMIZATION OF SIMULATION-MODELS WITH GADELO - A MULTI-POPULATION GENETIC ALGORITHM, International journal of bio-medical computing, 35(1), 1994, pp. 61-77
Citations number
41
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Engineering, Biomedical","Computer Science Interdisciplinary Applications","Computer Science Theory & Methods
Journal title
International journal of bio-medical computing → ACNP
ISSN journal
00207101
Volume
35
Issue
1
Year of publication
1994
Pages
61 - 77
Database
ISI
SICI code
0020-7101(1994)35:1<61:OOSWG->2.0.ZU;2-O
Abstract
In this paper, a new Genetic Algorithm based on the Dynamic Exploratio n of Local Optima (GADELO) was used to estimate the parameters of the MRD (Micro-population model of Risk-group Dynamics) micro-population m odel for smoking cessation by minimizing a deviation function between the model's predictions and the smoking cessation data of the Multiple Risk Factor Intervention Trial (MRFIT). The efficiency and accuracy o f the GADELO estimations were consistently superior to those obtained using the standard genetic algorithm or the simplex algorithm of Nelde r-Mead.