Genetic Programming Bibliography entries for David E Goldberg

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8344

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, Franz Rothlauf, 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

• Jose G. Moreno-Torres and Xavier Llora and David E. Goldberg and Rohit Bhargava. Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. Information Sciences, 222:805-823, 2013. details

• Kumara Sastry and D. D. Johnson and David E. Goldberg and Pascal Bellon. Genetic programming for multitimescale modeling. Physical Review B, 72(085438) 2005. details

• Kumara Sastry and D. D. Johnson and David E. Goldberg and Pascal Bellon. Genetic Programming for Multiscale Modeling. International Journal for Multiscale Computational Engineering, 2(2) 2004. details

Genetic Programming Conference proceedings edited by David E Goldberg

• Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000). Las Vegas, Nevada, USA, Morgan Kaufmann, 2000. details

• 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. University of Wisconsin, Madison, WI, USA, Morgan Kaufmann, 1998. details

• John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference. Stanford University, CA, USA, MIT Press, 1996. details

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. Franz Rothlauf and David Goldberg. Tree network design with genetic algorithms - An investigation in the locality of the pruefernumber encoding. In Scott Brave and Annie S. Wu editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 238-244, Orlando, Florida, USA, 1999. details

4. 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

5. 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

6. 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

• Kumara Sastry and Una-May O'Reilly and David E. Goldberg. Population Sizing for Genetic Programming based on Decision Making. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 4, pages 49-65. Springer, Ann Arbor, 2004. details

• Kumara Sastry and David E. Goldberg. Probabilistic Model Building and Competent Genetic Programming. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 13, pages 205-220. Kluwer, 2003. details

• Kumara Sastry and Una-May O'Reilly and David E. Goldberg and David Hill. Building Block Supply in Genetic Programming. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 9, pages 137-154. Kluwer, 2003. details

Genetic Programming technical reports by David E Goldberg

• Kumara Sastry and D. D. Johnson and David E. Goldberg and Pascal Bellon. Genetic Programming for Multi-Timescale Modeling. IlliGAL Report , 2003014, Department of General Engineering University of Illinois at Urbana-Champaign, 117 Transportation Building, 104 S. Mathews Avenue, Urbana, IL 61801, USA, 2003. Submitted to Physical Review Letters. details

• Thang C. Nguyen and David E. Goldberg and Thomas S. Huang. Evolvable Modeling: structural adaptation through hierarchical evolution for 3-D model-based vision. Technical report, Beckman Institute and Coordinated Science Laboratory, University of Illinois, Urbana, IL 61801, USA, 1993. details