Hybrid Local Search Techniques for the Generalized Balanced Academic Curriculum Problem

Author:

Di Gaspero Luca,Schaerf Andrea

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Ahuja, R., Ergun, Ö., Orlin, J., Punnen, A.: A survey of very-large-scale neighborhood search techniques. Discrete Applied Mathematics 123, 75–102 (2002)

2. Lecture Notes in Computer Science;C. Castro,2007

3. Castro, C., Manzano, S.: Variable and value ordering when solving balanced academic curriculum problems. In: 6th Workshop of the ERCIM WG on Constraints (2001)

4. Di Gaspero, L., McCollum, B., Schaerf, A.: The second international timetabling competition (ITC-,: Curriculum-based course timetabling (track 3). Technical Report QUB/IEEE/Tech/ITC2007/CurriculumCTT/v1.0/1, School of Electronics, Electrical Engineering and Computer Science, Queens University, Belfast (UK). ITC-2007 (August 2007), http://www.cs.qub.ac.uk/itc2007/

5. Di Gaspero, L., Schaerf, A.: EasyLocal++: An object-oriented framework for flexible design of local search algorithms. Software—Practice and Experience 33(8), 733–765 (2003)

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