Titre :

A hybrid ILS-VND based hyper-heuristic for permutation flowshop scheduling problem

Auteur(s) :

Yahyaoui, Hiba [Auteur]
Institut Supérieur de Gestion de Tunis [Tunis] [ISG]
Krichen, Saoussen [Auteur]
Institut Supérieur de Gestion de Tunis [Tunis] [ISG]
Derbel, Bilel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Talbi, El-Ghazali [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]

Titre de la manifestation scientifique :

KES‘2015 19th Int. Conf. on Knowledge-based and Intelligent Information & Engineering Systems

Ville :

Singapour

Pays :

Singapour

Date de début de la manifestation scientifique :

2015

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]

Résumé en anglais : [en]

In this paper an iterated local search (ILS) is embedded with a variable neighborhood Descent (VND) hyper-heuristic. The proposed hyper-heuristic combines low-level heuristics. Several variants from the literature within ...
Lire la suite >In this paper an iterated local search (ILS) is embedded with a variable neighborhood Descent (VND) hyper-heuristic. The proposed hyper-heuristic combines low-level heuristics. Several variants from the literature within the proposed ILS were implemented and tested. This article conducts an empirical study involving hard combinatorial optimization problems, permutation flowshop scheduling problem (PFSP) with the objectives of minimizing makespan and the total flowtime of jobs. The proposed ILS based hyper-heuristic proved its general and applicable across the studied problems.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