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.
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.
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.
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Last update: June 19, 2007.