Genetic Programming Bibliography entries for David E Goldberg

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GP coauthors/coeditors: Una-May O'Reilly, John Koza, David B Fogel, Rick L Riolo, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, Max H Garzon, Hitoshi Iba, Jose Garcia Moreno-Torres, Xavier Llora, Rohit Bhargava, Thang C Nguyen, Thomas S Huang, Kumara Sastry, David Hill, Duane D Johnson, Pascal Bellon, L Darrell Whitley, Erick Cantu-Paz, Lee Spector, Ian C Parmee, Hans-Georg Beyer,

Genetic Programming Articles by David E Goldberg

Genetic Programming Conference proceedings edited by David E Goldberg

Genetic Programming conference papers by David E Goldberg

  1. Jose Garcia Moreno-Torres and Xavier Llora and David E. Goldberg and Rohit Bhargava. On the Homogenization of Data from Two Laboratories Using Genetic Programming. In Jaume Bacardit and Will N. Browne and Jan Drugowitsch and Ester Bernad\'o-Mansilla and Martin V. Butz editors, Learning Classifier Systems, volume 6471, pages 185-197, 2009. Springer. details

  2. Jose Garcia Moreno-Torres and Xavier Llora and David E. Goldberg. Binary Representation in Gene Expression Programming: Towards a Better Scalability. In Ninth International Conference on Intelligent Systems Design and Applications, ISDA '09, pages 1441-1444, 2009. IEEE Computer Society. details

  3. Una-May O'Reilly and David E. Goldberg. How Fitness Structure Affects Subsolution Acquisition in Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 269-277, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  4. David E. Goldberg and Una-May O'Reilly. Where does the Good Stuff Go, and Why? How contextual semantics influence program structure in simple genetic programming. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 16-36, Paris, 1998. Springer-Verlag. details

  5. Thang C. Nguyen and David E. Goldberg and Thomas S. Huang. Evolvable Modeling: Structural Adaptation Through Hierarchical Evolution for 3-D Model-based Vision. In Kevin Bowyer and Lawrence Hall editors, Machine Learning in Computer Vision: What, Why, and How?, pages 100-104, 1993. AAAI. details

Genetic Programming book chapters by David E Goldberg

Genetic Programming technical reports by David E Goldberg