Optimization of simulation models with GADELO: a multi-population genetic algorithm

Mehdi Elketroussi, David P Fan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, a new Genetic Algorithm based on the Dynamic Exploration of Local Optima (GADELO) was used to estimate the parameters of the MRD (Micro-population model of Risk-group Dynamics) micro-population model 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 of the GADELO estimations were consistently superior to those obtained using the standard genetic algorithm or the simplex algorithm of Nelder-Mead.

Original languageEnglish (US)
Pages (from-to)61-77
Number of pages17
JournalInternational Journal of Bio-Medical Computing
Volume35
Issue number1
DOIs
StatePublished - Feb 1994

Keywords

  • Genetic algorithm
  • Micro-population simulation
  • Nelder-Mead simplex algorithm
  • Optimization

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