A Genetic Local Search Algorithm for the Multiple Optimisation of the Balanced Academic Curriculum Problem

Castro C.; Crawford, B; Monfroy, E

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