A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem-Reference-Cited by-同舟云学术

A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem

Published:2003 Issue: Volume: Page:171-182
ISSN:0302-9743
Container-title:Genetic and Evolutionary Computation — GECCO 2003
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Author:

Cutello Vincenzo,Nicosia Giuseppe,Pavone Mario

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45105-6_23

Reference19 articles.

1. Dasgupta, D. (ed.): Artificial Immune Systems and their Applications. Springer-Verlag, Berlin Heidelberg New York (1999)

2. De Castro L.N., Timmis J.: Artificial Immune Systems: A New Computational Intelligence Paradigm. Springer-Verlag, UK (2002)

3. Forrest, S., Hofmeyr, S. A.: Immunology as Information Processing. Design Principles for Immune System & Other Distributed Autonomous Systems. Oxford Univ. Press, New York (2000)

4. Nicosia, G., Castiglione, F., Motta, S.: Pattern Recognition by primary and secondary response of an Artificial Immune System. Theory in Biosciences 120 (2001) 93–106

5. Galinier, P., Hao, J.: Hybrid Evolutionary Algorithms for Graph Coloring. Journal of Combinatorial Optimization Vol. 34 (1999) 379–397

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