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A Parallel Adaptive GA for Linkage Disequilibrium in Genomics.

Laetitia Jourdan 1 Clarisse Dhaenens 1 El-Ghazali Talbi 1
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : In this paper, we treat the linkage disequilibrium, used to discover haplotypes, candidate to explain multi-factorial diseases such as diabetes or obesity, as an optimization problem where a given objective function has to be optimized. In order to determine what kind of algorithm will be able to solve this problem, we first study the specificities and the structure of the problem. Results of this study show that exact algorithms are not adapted to this specific problem and lead us to the development of a parallel dedicated adaptive multipopulation genetic algorithm that is able to find several haplotypes of different sizes. After describing the biological problem, we present the dedicated genetic algorithm, its specificities, such as the use of several populations and its advanced mechanisms such as the adaptive choice of operators, random immigrants, and its parallel implementation. We give results on a real dataset.
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https://hal.inria.fr/inria-00001182
Contributor : Laetitia Jourdan <>
Submitted on : Thursday, March 30, 2006 - 1:15:33 PM
Last modification on : Thursday, May 28, 2020 - 9:22:09 AM
Document(s) archivé(s) le : Saturday, April 3, 2010 - 9:35:26 PM

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  • HAL Id : inria-00001182, version 1

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Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi. A Parallel Adaptive GA for Linkage Disequilibrium in Genomics.. IPDPS, Apr 2004, Santa Fe, USA. ⟨inria-00001182⟩

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