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Number of items: 9.

Article

Smith, J. and Fogarty, T. (1997) Operator and parameter adaptation in genetic algorithms. Soft Computing, 1 (2). pp. 81-87. ISSN 1432-7643

Bull, L. and Fogarty, T. (1995) Artificial symbiogenesis. Artificial Life, 2 (3). pp. 269-292. ISSN 1432-7643

Book Section

Cao, Y., Ireson, N., Bull, L. and Miles, R. (2000) Distributed learning control of traffic signals. In: Cagnoni, S., Poli, R., Smith, G., Corne, D., Oates, M., Hart, E., Lanzi, P., Willem, E., Li, Y., Paechter, B. and Fogarty, T., eds. (2000) Real-world Applications of Evolutionary Computing. Springer, pp. 159-160. ISBN 9783540673538

Conference or Workshop Item

Smith, J., Bartley, M. and Fogarty, T. (1997) Microprocessor design verification by two-phase evolution of variable length tests. In: Proceedings of the 1997 IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA, 1997., pp. 453-458

Smith, J. and Fogarty, T. (1996) Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm. In: H.-M.~Voigt, , W.~Ebeling, , I.~Rechenberg, and H.-P.~Schwefel, , eds. Proceedings of the 4th Conference on Parallel Problem Solving from Nature, Springer, Berlin, Heidelberg, New York., pp. 441-450

Smith, J. and Fogarty, T. (1996) Recombination strategy adaptation via evolution of gene linkage. In: Proceedings of the 1996 IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA, 1996., pp. 826-831

Smith, J. and Fogarty, T. (1996) Self adaptation of mutation rates in a steady state genetic algorithm. In: Proceedings of the 1996 IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, USA, 1996., pp. 318-323

Smith, J. and Fogarty, T. (1995) An adaptive poly-parental recombination strategy. In: T.C.~Fogarty, , ed. Evolutionary Computing 2, Springer, Berlin, Heidelberg, New York., pp. 48-61

Smith, J., Fogarty, T. and Johnson, I. (1994) Genetic feature selection for clustering and classification. In: Proceedings of the IEE Colloquium on Genetic Algorithms in Image Processing and Vision.

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