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172                                                BIBLIOGRAPHY


            P. A. N. Bosman and E. D. de Jong. Learning probabilistic tree grammars for genetic
              programming. In X. Yao, et al., editors, Parallel Problem Solving from Nature -
              PPSN VIII, volume 3242 of LNCS, pages 192–201, Birmingham, UK, 18-22 September
              2004b. Springer-Verlag. ISBN 3-540-23092-0. URL http://www.cs.uu.nl/~dejong/
              publications/edagpppsn.pdf.                                GPBiB
            A. Brabazon and M. O’Neill. Biologically Inspired Algorithms for Financial Modelling.
              Natural Computing Series. Springer, 2006. ISBN 3-540-26252-0.  GPBiB
            M. Brameier and W. Banzhaf. A comparison of linear genetic programming and neural
              networks in medical data mining. IEEE Transactions on Evolutionary Computation, 5
              (1):17–26, February 2001. URL http://web.cs.mun.ca/~banzhaf/papers/ieee_taec.
              pdf.                                                       GPBiB
            M. Brameier and W. Banzhaf. Linear Genetic Programming. Number XVI in Genetic
              and Evolutionary Computation. Springer, 2007. ISBN 0-387-31029-0. URL http:
              //www.springer.com/west/home/default?SGWID=4-40356-22-173660820-0.  GPBiB
            M. Brameier, J. Haan, A. Krings, and R. M. MacCallum.  Automatic discovery of
              cross-family sequence features associated with protein function. BMC bioinformat-
              ics [electronic resource], 7(16), January 12 2006.  ISSN 1471-2105.  URL http:
              //www.biomedcentral.com/content/pdf/1471-2105-7-16.pdf.    GPBiB
            S. Brave. Evolving recursive programs for tree search. In P. J. Angeline and K. E.
              Kinnear, Jr., editors, Advances in Genetic Programming 2, chapter 10, pages 203–220.
              MIT Press, Cambridge, MA, USA, 1996. ISBN 0-262-01158-1.   GPBiB

            S. Brave and A. S. Wu, editors. Late Breaking Papers at the 1999 Genetic and Evolu-
              tionary Computation Conference, Orlando, Florida, USA, 13 July 1999.  GPBiB
            M. Brezocnik. Uporaba genetskega programiranja v inteligentnih proizvodnih sistemih.
              University of Maribor, Faculty of mechanical engineering, Maribor, Slovenia, 2000.
              ISBN 86-435-0306-1. URL http://maja.uni-mb.si/slo/Knjige/2000-03-mon/index.
              htm.                                                       GPBiB
            M. Brezocnik, J. Balic, and L. Gusel. Artificial intelligence approach to determination
              of flow curve. Journal for technology of plasticity, 25(1-2):1–7, 2000. ISSN 0350-2368.
              GPBiB
            G. Buason, N. Bergfeldt, and T. Ziemke. Brains, bodies, and beyond: Competitive co-
              evolution of robot controllers, morphologies and environments. Genetic Programming
              and Evolvable Machines, 6(1):25–51, March 2005. ISSN 1389-2576.
            E. K. Burke, M. R. Hyde, and G. Kendall. Evolving bin packing heuristics with genetic
              programming. In T. P. Runarsson, et al., editors, Parallel Problem Solving from Nature
              - PPSN IX, volume 4193 of LNCS, pages 860–869, Reykjavik, Iceland, 9-13 September
              2006. Springer-Verlag. ISBN 3-540-38990-3. URL http://www.cs.nott.ac.uk/~mvh/
              ppsn2006.pdf.                                              GPBiB
            E. K. Burke, G. Kendall, J. Newall, E. Hart, P. Ross, and S. Schulenburg. Hyper-
              heuristics: an emerging direction in modern search technology.  In F. Glover and
              G. Kochenberger, editors, Handbook of Metaheuristics, pages 457–474. Kluwer Aca-
              demic Publishers, 2003.

            E. K. Burke, M. R. Hyde, G. Kendall, and J. Woodward. Automatic heuristic genera-
              tion with genetic programming: evolving a jack-of-all-trades or a master of one. In
              D. Thierens, et al., editors, GECCO ’07: Proceedings of the 9th annual conference on
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