Exploring Hyper-heuristic Methodologies with Genetic Programming-Reference-Cited by-同舟云学术

Exploring Hyper-heuristic Methodologies with Genetic Programming

Published:2009 Issue: Volume: Page:177-201
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
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Author:

Burke Edmund K.,Hyde Mathew R.,Kendall Graham,Ochoa Gabriela,Ozcan Ender,Woodward John R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-01799-5_6.pdf

Reference63 articles.

1. Asmuni, H., Burke, E.K., Garibaldi, J.M., Mccollum, B.: A novel fuzzy approach to evaluate the quality of examination timetabling. In: Proceedings of the 6th International Conference on the Practice and Theory of Automated Timetabling, pp. 82–102 (2006)

2. Bäck, T.: An overview of parameter control methods by self-adaption in evolutionary algorithms. Fundam. Inf. 35(1-4), 51–66 (1998)

3. Lecture Notes in Computer Science;M.B. Bader-El-Din,2008

4. Operations Research/Computer Science Interface Serices;R. Bai,2005

5. Banzhaf, W., Nordin, P., Keller, R.E., Francone, F.D.: Genetic Programming – An Introduction; On the Automatic Evolution of Computer Programs and its Applications. Morgan Kaufmann, San Francisco (1998)

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