An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem

Lamiche Chaabane
  • Fonction : Auteur
  • PersonId : 1038472

Résumé

In this research work, we propose a cooperative approach called simulated particle swarm optimization (SPSO) which is based on metaheuristics to find an approximate solution for the multiple sequence alignment (MSA) problem. The developed approach uses the particle swam optimization (PSO) algorithm to discover the search space globally and the simulated annealing (SA) technique to improve the population leader «gbest» quality in order to overcome local optimum problem. Simulation results on BaliBASE benchmarks have shown the potent of the proposed method to produce good quality alignments comparing to those given by other existing methods.
Fichier principal
Vignette du fichier
467079_1_En_17_Chapter.pdf (193.54 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01913906 , version 1 (07-11-2018)

Licence

Paternité

Identifiants

Citer

Lamiche Chaabane. An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.185-195, ⟨10.1007/978-3-319-89743-1_17⟩. ⟨hal-01913906⟩
36 Consultations
74 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More