Genetic Programming and Evolvable Machines: ten years of reviews

W.B. Langdon, Genetic programming and evolvable machines: books and other resources. Genet. Program. Evolvable Mach. 1(1/2),165–169 (2000) W.B. Langdon, S. Gustafson, Genetic programming and evolvable machines: five years of reviews. Genet. Program. Evolvable Mach. 6(2), 221–228 (2005) W.B. Langdon, A bibliography for genetic programming, in Advances in Genetic Programming 2, appendix B, ed. by P.J. Angeline, K.E. Kinnear Jr., (MIT Press, 1996), pp. 507–532 S. Lawrence, Free online availability substantially increases a paper’s impact. Nature 411(6837), 521 (2001) J.R. Koza, R. Poli, A genetic programming tutorial (2003) M.A.H. Dempster, V. Leemans, An automated FX trading system using adaptive reinforcement learning. Expert Syst. Appl. 30(3), 543–552 (2006). Special Issue on Financial Engineering Jin Li, Zhu Shi, Xiaoli Li, Genetic programming with wavelet-based indicators for financial forecasting. Trans. Inst. Meas. Control 28(3), 285–297 (2006) R.G. Bates, M.A.H. Dempster, Y.S. Romahi, Evolutionary reinforcement learning in FX order book and order flow analysis, in IEEE International Conference on Computational Intelligence for Financial Engineering, Hong Kong, 20–23 March 2003, pp. 355–362 W.B. Langdon, W. Banzhaf, A SIMD interpreter for genetic programming on GPU graphics cards, in Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, vol 4971, ed. by M. O’Neill et al., of Lecture Notes in Computer Science, Naples, 26–28 March 2008 (Springer), pp. 73–85 M.A.H. Dempster, Y.S. Romahi, Intraday FX trading: an evolutionary reinforcement learning approach, in Proceedings of Third International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2002, vol 2412, ed. by H. Yin et al., of Lecture Notes in Computer Science, Manchester, 12–14 August 2002 (Springer), pp. 347–358 M.A.H. Dempster, T.W. Payne, Y. Romahi, G.W.P. Thompson, Computational learning techniques for intraday FX trading using popular technical indicators. IEEE Trans. Neural Netw. 12(4), 744–754 (2001) M.A. Kaboudan, Genetic programming software to forecast time series, in Computing in Economics and Finance, University of Washington, Seattle, USA, 11–13 July 2003 R. Forsyth, BEAGLE A Darwinian approach to pattern recognition, Kybernetes 10(3), 159–166 (1981) J.R. Koza, Survey of genetic algorithms and genetic programming, in Proceedings of 1995 WESCON Conference IEEE (1995), pp. 589–594 M A.H. Dempster, C.M. Jones, The profitability of intra-day FX trading using technical indicators. Working Paper 35/00, Judge Institute of Management Studies, University of Cambridge (2000) D. Zongker, B. Punch, lilgp 1.01 user’s manual. Technical report, Michigan State University, USA, 26 March 1996 M.P. Austin, G. Bates, M.A.H. Dempster, V. Leemans, S.N. Williams, Adaptive systems for foreign exchange trading, Quant. Finance 4(4), 37–45 (2004) M. Austin, G. Bates, M. Dempster, S. Williams, Adaptive systems for foreign exchange trading, Eclectic 18, 21–26, Autumn (2004) M.A.H. Dempster, C.M. Jones, A real-time adaptive trading system using genetic programming, Quant. Finance 1, 397–413 (2000) L. Wagman, Stock portfolio evaluation: an application of genetic-programming-based technical analysis, in Genetic Algorithms and Genetic Programming at Stanford 2003, ed. by J.R. Koza, Stanford Bookstore, Stanford, CA, 94305-3079 USA, 4 December 2003, pp. 213–220 J.C. Werner, M.E. Aydin, T.C. Fogarty, Evolving genetic algorithm for job shop scheduling problems. Technical report, School of Computing, Information Systems and Mathematics, London South Bank University, UK (2001) P.K. Spivak, Discovery of optical character recognition algorithms using genetic programming, in Genetic Algorithms and Genetic Programming at Stanford 2002, ed. by J.R. Koza, Stanford Bookstore, Stanford, CA, 94305-3079 USA, June 2002, pp. 223–232 Justine W. Shen, Solving the graph coloring problem using genetic programming, in Genetic Algorithms and Genetic Programming at Stanford 2003, ed. by J.R. Koza, Stanford Bookstore, Stanford, CA, 94305-3079 USA, 4 December 2003, pp. 187–196 J.-F. Dupuis, M. Parizeau, Evolving a vision-based line-following robot controller, in The 3rd Canadian Conference on Computer and Robot Vision (CRV’06), IEEE Computer Society (2006), p. 75 C. Cotta, J.-J. Merelo, Where is evolutionary computation going? A temporal analysis of the EC community, Genet. Program. Evolvable Mach. 8(3), 239–253 (2007) M. Ley, DBLP—some lessons learned, Proc. VLDB Endowment 2(2), 1493–1500 (2009) R. Poli, Analysis of the publications on the applications of particle swarm optimisation, J. Artif. Evol. Appl. (2008) M. Tomassini, L. Luthi, M. Giacobini, W. B. Langdon, The structure of the genetic programming collaboration network, Genet. Program. Evolvable Mach. 8(1), 97–103 (2007) M. Tomassini, L. Luthi, Empirical analysis of the evolution of a scientific collaboration network, Phys. A 385, 750–764 (2007) W.B. Langdon, R. Poli, W. Banzhaf, An eigen analysis of the GP community. Genet. Program. Evolvable Mach. 9(3), 171–182 (2008) B. Dolin, J.J. Merelo, Resource review: a web-based tour of genetic programming, Genet. Program. Evolvable Mach. 3(3), 311–313 (2002) J.A. Foster, Review: discipulus: a commercial genetic programming system, Genet. Program. Evolvable Mach. 2(2), 201–203 (2001) G.C. Wilson, A. McIntyre, M.I. Heywood, Resource review: three open source systems for evolving programs–lilgp, ECJ and grammatical evolution, Genet. Program. Evolvable Mach. 5(1), 103–105 (2004) J.R. Koza, in Genetic Programming II: Automatic Discovery of Reusable Programs (MIT Press, Cambridge, 1994)