Abstract
This paper presents a parallel artificial immune system designed for graph coloring. The algorithm is based on the clonal selection principle. Each processor operates on its own pool of antibodies and a migration mechanism is used to allow processors to exchange information. Experimental results show that migration improves the performance of the algorithm. The experiments were performed using a high performance cluster on a set of well-established graph instances available on the Web.
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References
Brélaz, D.: New methods to color the vertices of a graph. Communications of the ACM 22, 251–256 (1979)
Cutello, V., Nicosia, G., Pavone, M.: A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O’Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 199–210. Springer, Heidelberg (2003)
de Castro, L.N., Von Zuben, F.J.: Artificial Immune Systems: Part I – Basic theory and applications, Technical Report – RT DCA 01/99, School of Computing and Electrical Engineering, State University of Campinas, Brasil (1999)
de Castro, L.N., Von Zuben, F.J.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transaction on Evolutionary Computation 6(3) (2002)
de Castro, L.N., Timmis, J.I.: Artificial immune systems as a novel soft computing paradigm. Soft Computing 7, 526–544 (2003)
Dasgupta, D., Forrest, S.: Artificial Immune Systems in Industrial Applications. In: Proc. of the Second International Conference on Intelligent Processing and Manufacturing of Materials, vol. 1, pp. 257–267 (1999)
Hertz, A., de Werra, D.: Using Tabu Search Techniques for Graph Coloring. Computing 39, 345–351 (1987)
Kim, J., Bentley, P.: The Artificial Immune Model for Network Intrusion Detection. In: Proc. of the 7th European Conference on Intelligent Techniques and Soft Computing EUFIT (1999)
Nossal, G.J.V.: Life, Death and the Immune System. Scientific American Special Issue on the Immune System, 53–63 (September 1993)
Ong, Z.X., Tay, J.C., Kwoh, C.K.: Applying the Clonal Selection Principle to Find Flexible Job-Shop Schedules. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 442–455. Springer, Heidelberg (2005)
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Da̧browski, J. (2008). Parallel Immune System for Graph Coloring. In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds) SOFSEM 2008: Theory and Practice of Computer Science. SOFSEM 2008. Lecture Notes in Computer Science, vol 4910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77566-9_43
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DOI: https://doi.org/10.1007/978-3-540-77566-9_43
Publisher Name: Springer, Berlin, Heidelberg
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