Titre | A Critical Element-Guided Perturbation Strategy for Iterated Local Search |
Type de publication | Communication |
Type | Communication avec actes dans un congrès |
Année | 2009 |
Langue | Anglais |
Date du colloque | 2009 |
Titre du colloque | 9th European Conference, EvoCOP 2009 |
Titre des actes ou de la revue | Evolutionary Computation in Combinatorial Optimization |
Volume | 5482 |
Pagination | 1 - 12 |
Auteur | Lü, Zhipeng, Hao, Jin-Kao |
Pays | Allemagne |
Editeur | Springer |
Ville | Tübingen |
ISBN | 978-3-642-01008-8 / 978-3-642-01009-5 |
Mots-clés | algorithm analysis and problem complexity, Computation by Abstract Devices, Computational Biology/Bioinformatics, course timetabling, critical element-guided perturbation, Discrete Mathematics in Computer Science, graph coloring, iterated local search, Numeric Computing, perturbation operator |
Résumé en anglais | In this paper, we study the perturbation operator of Iterated Local Search. To guide more efficiently the search to move towards new promising regions of the search space, we introduce a Critical Element-Guided Perturbation strategy (CEGP). This perturbation approach consists of the identification of critical elements and then focusing on these critical elements within the perturbation operator. Computational experiments on two case studies—graph coloring and course timetabling—give evidence that this critical element-guided perturbation strategy helps reinforce the performance of Iterated Local Search. |
Notes | Date du colloque : 04/2009 |
URL de la notice | http://okina.univ-angers.fr/publications/ua4490 |
DOI | 10.1007/978-3-642-01009-5_1 |
Lien vers le document en ligne | http://link.springer.com/chapter/10.1007/978-3-642-01009-5_1 |