Publications on Computational Theory of Learning, Evolution, and Intelligence

• A unified Bayesian framework for evolutionary learning and optimization, Zhang, B.-T., Advances in Evolutionary Computing, Chapter 15, pp. 393-412, Springer-Verlag, 2003. [PDF]
• Construction of large-scale Bayesian networks by local to global search, Hwang, K.-B., Lee, J. W., Chung, S.-W., and Zhang, B.-T., Lecture Notes in Artificial Intelligence, 2417:375-384, 2002. [PDF]
• Evolving neural networks and the bias-variance dilemma, Zhang, B.-T, Neurocomputing (Special Issue on Evolutionary Neural Systems), 2001. (invited paper)
• Bayesian methods for efficient genetic programming, Zhang, B.-T., Genetic Programming and Evolvable Machines, 1(3):217-242, 2000. [PDF]
• Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains, Zhang, B.-T., Paa©¬, G., and Mühlenbein, H., Proceedings of the 2000 Congress on Evolutionary Computation (CEC00), 2:938-945, 2000. [PDF]
• Bayesian evolutionary algorithms for learning and optimization, Zhang, B.-T., Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000) Workshop Program, pp. 220-222, 2000. [PS]
• A Probabilistic model for co-evolutionary emergence of collective intelligence, Zhang, B.-T., Cybernetics and Systems, 1999. (submitted)
• Bayesian genetic programming, Zhang, B.-T., Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99) Workshop Program, pp. 68-70, 1999. [PS]
• A Bayesian framework for evolutionary computation, Zhang, B.-T., Proceedings of the 1999 Congress on Evolutionary Computation (CEC99), 1:722-728, 1999. [PDF]
• Active learning agents with artificial neural brains, Zhang, B.-T., Proceedings of the International Conference on Cognitive Science (ICCS'97), pp. 118-123, 1997.
• A Taxonomy of control schemes for genetic code growth, Zhang, B.-T., Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA-97) Workshop on Evolutionary Computation with Variable Size Representation, 1997.
• Artificial neural nets, adaptive genetic programming, and intelligent learning machines, Zhang, B.-T., VeKNI Nachrichten, 41:17-31, 1995.
• Statistical inference as a theoretical foundation of genetic algorithms, Mühlenbein, H. and Zhang, B.-T., Proceedings of the Joint Meeting of Real World Computing Partnership (RWCP), 1994.
• A genetic neural learning engine for artificial intelligence, Zhang, B.-T., VeKNI Nachrichten, Stuttgart, pp. 239-249, 1993.
• Learning by Genetic Neural Evolution (in German), Zhang, B.-T., PhD Dissertation, University of Bonn, Germany, published as DISKI Series, vol. 16, ISBN 3-929037-16-6, 268 pages, Infix-Verlag, St. Augustin/Bonn, July 1992.