Immunology as a Metaphor for Computational ... - Napier University

Bibliography 213[Timmis et al., 1999] Timmis, J., Neal, M., and Hunt, J. (1999). Data analysis usingartificial immune systems, cluster analysis and kohonen networks: Some comparisons.In Proceedings of the International Conference on Systems, Man and Cybernetics,pages 922–927. IEEE.[Timmis et al., 2000] Timmis, J., Neal, M., and Hunt, J. (2000). An artificial immunesystem for data analysis. Biosystems, 55(1/3):143–150.[Tonegawa, 1983] Tonegawa, S. (1983).Nature, 302:575–581.Somatic generation of antibody diversity.[Varela and Coutinho, 1988] Varela, F. and Coutinho, A. (1988). Cognitive networks:Immune,neural and otherwise. Theoretical Immunology, 2:359–371.[Weigert et al., 1970] Weigert, M., Cesari, I., Yonkovitch, S., and Cohn, M. (1970).Variability in the light chain sequences of mouse antibody. Nature, 228:1045=1047.[Weinand, 1990] Weinand, R. (1990). Somatic mutation, affinity maturation and antibodyrepertoire: A computer model. Journal of Theoretical Biology, 143(3):343–382.[Whitely and Starkweather, 1990] Whitely, D. and Starkweather, T. (1990). Genitor ii:A distributed genetic algorithm. Journal of Experimental and Theoretical ArtificialIntelligence, 2(3):189–214.[Wu et al., 1999] Wu, S., Byeon, E., and Storer, R. (1999). A graph-theoretic decompositionof the job-shop scheduling problem to achieve scheduling robustness.Operations Research, 47.