Titre :

Variable Genetic Operator Search for the Molecular Docking Problem

Auteur(s) :

Mesmoudi, Salma [Auteur]
DECISION
Tavares, Jorge [Auteur]
Departamento de Engenharia Informática / Department of Informatics Engineering [DEI]
Jourdan, Laetitia [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]

Titre de la manifestation scientifique :

EvoBIO 2010 - 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Ville :

Istanbul

Pays :

Turquie

Date de début de la manifestation scientifique :

2010-04-07

Titre de la revue :

Lecture Notes in Computer Science

Éditeur :

Springer

Date de publication :

2010

Discipline(s) HAL :

Mathématiques [math]/Combinatoire [math.CO]

Résumé en anglais : [en]

The aim of this work is to present a new hybrid algorithm for the Molecular Docking problem: Variable Genetic Operator Search (VGOS). The proposed method combines an Evolutionary Algorithm with Variable Neighborhood Search. ...
Lire la suite >The aim of this work is to present a new hybrid algorithm for the Molecular Docking problem: Variable Genetic Operator Search (VGOS). The proposed method combines an Evolutionary Algorithm with Variable Neighborhood Search. Experimental results show that the algorithm is able to achieve good results, in terms of energy optimization and RMSD values for several molecules when compared with previous approaches. In addition, when hybridized with the L-BFGS local search method it attains very competitive results.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL