A Genetic Local Search Algorithm for the Multiple Optimisation of the Balanced Academic Curriculum Problem
Abstract
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. © 2009 Springer Berlin Heidelberg.
Más información
Título según WOS: | A Genetic Local Search Algorithm for the Multiple Optimisation of the Balanced Academic Curriculum Problem |
Título según SCOPUS: | A genetic local search algorithm for the multiple optimisation of the balanced academic curriculum problem |
Título de la Revista: | Communications in Computer and Information Science |
Volumen: | 35 |
Editorial: | Springer Nature |
Fecha de publicación: | 2009 |
Página de inicio: | 824 |
Página final: | 832 |
Idioma: | eng |
URL: | http://www.scopus.com/inward/record.url?eid=2-s2.0-68349148503&partnerID=q2rCbXpz |
DOI: |
10.1007/978-3-642-02298-2_119 |
Notas: | ISI, SCOPUS |