A Genetic Local Search Algorithm for the Multiple Optimisation of the Balanced Academic Curriculum Problem-Reference-Cited by-同舟云学术

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

Published:2009 Issue: Volume: Page:824-832
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Castro Carlos,Crawford Broderick,Monfroy Eric

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02298-2_119

Reference8 articles.

1. Aydin, M., Fogarty, T.: A Distributed Evolutionary Simulated Annealing for Combinatorial Optimisation Problems. J. of Heuristics 10(3), 269–292 (2004)

2. Aydin, M., Fogarty, T.: A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application. J. of Intell. Manufacturing 15(6), 805–814 (2004)

3. Castro, C., Manzano, S.: Variable and Value Ordering When Solving Balanced Academic Curriculum Problems. In: 6th Workshop ERCIM 2001, Prague, Czech Republic (June 2001)

4. Hnich, B., Kiziltan, Z., Miguel, I., Walsh, T.: Hybrid Modelling for Robust Solving. Annals of Operations Research 130(1-4), 19–39 (2004)

5. Hnich, B., Kiziltan, Z., Walsh, T.: Modelling a Balanced Academic Curriculum Problem. In: 4th Intl. Workshop on Integration of AI and OR Tech. in CP for Combinatorial Opt. Problems, Le Croisic, France, March 2002, pp. 121–132 (2002)

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