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B

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

C

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

S

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., pp. 453-458

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

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) Evolving software test data: GAs learn self expression. In: Fogarty, T. C. , ed. Evolutionary Computing., pp. 137-146

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., 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., 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.