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Cuff, A.I. and Redfern, O.C. and Greene, L. and Sillitoe, I. and Lewis, T.E. and Dibley, M. and Reid, A. and Pearl, F.G.M. and Dallman, T. and Todd, A. and Garratt, R. and Thornton, Janet M. and Orengo, C.A. (2009) The CATH hierarchy revisited - structural divergence in domain superfamilies and the continuity of fold space. Structure 17 (8), pp. 1051-1062. ISSN 0969-2126.

Cuff, A.I. and Sillitoe, I. and Lewis, T.E. and Redfern, O.C. and Garratt, R. and Thornton, Janet M. and Orengo, C.A. (2009) The CATH classification revisited-architectures reviewed and new ways to characterize structural divergence in superfamilies. Nucleic Acids Research 37 (1(S)), D310-D314. ISSN 0305-1048.

Book Section

Lewis, T.E. and Magoulas, George D. (2011) Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs. In: UNSPECIFIED (ed.) Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation. New York, USA: Association for Computing Machinery, pp. 447-454. ISBN 9781450306904.

Lewis, T.E. and Magoulas, George D. (2011) TMBL kernels for CUDA GPUs compile faster using PTX. In: UNSPECIFIED (ed.) Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11. New York, USA: Association for Computing Machinery, pp. 455-462. ISBN 9781450306904.

Lewis, T.E. and Magoulas, George D. (2010) Tweaking a tower of blocks leads to a TMBL: pursuing long term fitness growth in program evolution. In: UNSPECIFIED (ed.) IEEE Congress on Evolutionary Computation. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1-8. ISBN 9781424469093.

Lewis, T.E. and Magoulas, George D. (2009) Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. In: UNSPECIFIED (ed.) Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09. New York, U.S.: ACM Press, pp. 1379-1386. ISBN 9781605583259.

Lewis, T.E. and Magoulas, George D. (2008) Tread: a new genetic programming representation aimed at research of long term complexity growth. In: UNSPECIFIED (ed.) Proceedings of the 10th annual conference on genetic and evolutionary computation. New York, USA: Association for Computing Machinery, pp. 1339-1340. ISBN 9781605581309.