A genetic local search algorithm for the multiple optimisation of the balanced academic curriculum problem

Carlos Castro, BRODERICK CRAWFORD LABRIN, Eric Monfroy

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

We deal with the Balanced Academic Curriculum Problem, a real world problem that is currently part of CSPLIB. We introduce a Genetic Local Search algorithm to solve this problem using two objectives which is a more realistic model than the one we used in our previous research. The tests carried out show that our algorithm obtains better solutions than systematic search techniques in the same amount of time.

Idioma originalInglés
Título de la publicación alojadaCutting-Edge Research Topics on Multiple Criteria Decision Making
Subtítulo de la publicación alojada20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings
Páginas824-832
Número de páginas9
DOI
EstadoPublicada - 14 ago 2009

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen35
ISSN (versión impresa)1865-0929

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