Multi-objective path relinking for bi-clustering: Application to microarray data

Abstract : In this work we deal with a multiobjective biclustering problem applied to microarray data. MOBI nsga [21] is one of the multiobjective metaheuristics that have been proposed to solve a new multiobjective formulation of the biclustering problem. Using MOBI nsga , biclusters of good quality can be extracted. However, the generated front approximation contains a lot of gaps. Using path relinking strategies, our aim is to improve the generated front’s quality by filling the gaps with new solutions. Therefore, we propose a general scheme PR-MOBI nsga of different possible hybridization of MOBI nsga with path relinking strategies. A comparison of different PR-MOBI nsga hybridizations is performed. Experimental results on reel data sets show that PR-MOBI nsga allows to extract new interesting solutions and to improve the Pareto front approximation generated by MOBI nsga .
Type de document :
Communication dans un congrès
EMO 2013 : 7th Int. Conf. On Evolutionary Multi-criterion Optimization, Mar 2014, Sheffield, United Kingdom. pp.200-214, 2014, 〈10.1007/978-3-642-37140-0_18〉
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https://hal.inria.fr/hal-01107757
Contributeur : Talbi El-Ghazali <>
Soumis le : mercredi 21 janvier 2015 - 15:06:18
Dernière modification le : mardi 3 juillet 2018 - 11:29:50

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Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi. Multi-objective path relinking for bi-clustering: Application to microarray data. EMO 2013 : 7th Int. Conf. On Evolutionary Multi-criterion Optimization, Mar 2014, Sheffield, United Kingdom. pp.200-214, 2014, 〈10.1007/978-3-642-37140-0_18〉. 〈hal-01107757〉

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