Genetic Programming Bibliography entries for David Andre

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GP coauthors/coeditors: John Koza, Forrest Bennett, Astro Teller, Martin A Keane, Walter Alden Tackett, Jason Lohn, Frank Dunlap, Jeffrey L Hutchings, Stephen L Bade, Scott Brave,

Genetic Programming Articles by David Andre

Genetic Programming Books by David Andre

Genetic Programming conference papers by David Andre

  1. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Genetic Programming: Biologically Inspired Computation that Creatively Solves Non-Trivial Problems. In Laura F. Landweber and Erik Winfree editors, Evolution as Computation, DIMACS Workshop, Princeton, January 1999, pages 95-124, Princeton University, 2001. Springer-Verlag. details

  2. J. R. Koza and F. Bennett and D. Andre and M. A. Keane. Genetic Programming: Turing's Third Way to Achieve Machine Intelligence. In Kaisa Miettinen and Marko M. Makela and Pekka Neittaanmaki and Jacques Periaux editors, Evolutionary Algorithms in Engineering and Computer Science, pages 185-197, Jyvaskyla, Finland, 1999. John Wiley \& Sons. details

  3. Forrest H Bennett III and John R. Koza and Martin A. Keane and David Andre. Darwinian Programming and Engineering Design using Genetic Programming. In Conor Ryan and Jim Buckley editors, Proceedings of the 1st International Workshop on Soft Computing Applied to Software Engineering, pages 31-40, University of Limerick, Ireland, 1999. Limerick University Press. details

  4. Forrest H Bennett III and John R. Koza and Martin A. Keane and David Andre. Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems. In Proceedings of the AISB'99 Symposium on Scientific Creativity, pages 29-38, Edingburgh, 1999. details

  5. Forrest H Bennett III and Martin A. Keane and David Andre and John R. Koza. Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming. In Kaisa Miettinen and Marko M. Makela and Pekka Neittaanmaki and Jacques Periaux editors, Evolutionary Algorithms in Engineering and Computer Science, pages 199-229, Jyvaskyla, Finland, 1999. John Wiley \& Sons. details

  6. D. Andre and A. Teller. Evolving Team Darwin United. In M. Asada and H. Kitano editors, RoboCup-98: Robot Soccer World Cup II, volume 1604, pages 346-351, Paris, France, 1999. Springer Verlag. details

  7. John Koza and Forrest Bennett and David Andre. Using Programmatic Motifs and Genetic Programming to Classify Protein Sequences as to Extracellular and Membrane Cellular Location. In V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  8. John R. Koza and Forrest H Bennett III and Jeffrey L. Hutchings and Stephen L. Bade and Martin A. Keane and David Andre. Evolving Computer Programs using Rapidly Reconfigurable FPGAs and Genetic Programming. In Jason Cong editor, FPGA'98 Sixth International Symposium on Field Programmable Gate Arrays, pages 209-219, Doubletree Hotel, Monterey, California, USA, 1998. ACM Press. details

  9. John R. Koza and Forrest H Bennett III and David Andre. Classifying Proteins as Extracellular using Programmatic Motifs and Genetic Programming. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 212-217, Anchorage, Alaska, USA, 1998. IEEE Press. details

  10. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Fourteen instances where genetic programming has produced results that are competitive with results produced by humans. In Takeshi Gomi editor, Evolutionary Robotics: From Intelligent Robots to Artificial Life (ER'98), pages 37-76, Kanata, Canada, 1998. AAI Press. details

  11. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Automatic creation of computer programs for designing electrical circuits using genetic programming. In Witold Pedrycz and James F. Peters editors, Computational Intelligence in Software Engineering, volume 16, pages 127-150, Singapore, 1998. World Scientific. details

  12. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Evolutionary Design of Analog Electrical Circuits using Genetic Programming. In Proceedings of Adaptive Computing in Design and Manufacture Conference, Plymouth, England, 1998. details

  13. David Andre and Forrest H Bennett III and John Koza and Martin A. Keane. On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 130-135, Anchorage, Alaska, USA, 1998. IEEE Press. details

  14. John R. Koza and Forrest H Bennett III and Martin A. Keane and David Andre. Evolution of a Time-Optimal Fly-To Controller Circuit using Genetic Programming. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 207-212, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  15. John R. Koza and David Andre and Forrest H Bennett III and Martin A. Keane. Design of a high-gain operational amplifier and other circuits by means of genetic programming. In Peter J. Angeline and Robert G. Reynolds and John R. McDonnell and Russ Eberhart editors, Evolutionary Programming VI. 6th International Conference, EP97, volume 1213, pages 125-136, Indianapolis, Indiana, USA, 1997. Springer-Verlag. details

  16. John R. Koza and Forrest H Bennett III and Jason Lohn and Frank Dunlap and Martin A. Keane and David Andre. Automated Synthesis of Computational Circuits Using Genetic Programming. In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 447-452, Indianapolis, 1997. IEEE Press. details

  17. John R. Koza and Forrest H Bennett III and Martin A. Keane and David Andre. Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming. In Proceedings of 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pages 340-346, Los Alamitos, CA, USA, 1997. Computer Society Press. details

  18. John R. Koza and Forrest H Bennett III and Jason Lohn and Frank Dunlap and Martin A. Keane and David Andre. Use of Architecture-Altering Operations to Dynamically Adapt a Three-Way Analog Source Identification Circuit to Accommodate a New Source. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 213-221, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  19. John R. Koza and Forrest H Bennett III and Jeffrey L. Hutchings and Stephen L. Bade and Martin A. Keane and David Andre. Evolving Sorting Networks using Genetic Programming and Rapidly Reconfigurable Field-Programmable Gate Arrays. In Tetsuya Higuchi editor, Workshop on Evolvable Systems. International Joint Conference on Artificial Intelligence, pages 27-32, Nagoya, 1997. details

  20. John R. Koza and Forrest H Bennett III and Jeffrey L. Hutchings and Stephen L. Bade and Martin A. Keane and David Andre. Evolving sorting networks using genetic programming and the rapidly reconfigurable Xilinx 6216 field-programmable gate array. In Proceedings of the 31st Asilomar Conference on Signals, Systems, and Computers, volume 1, pages 404-410, Pacific Grove, CA , USA, 1997. IEEE Press. details

  21. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Evolution Using Genetic Programming of a Low-Distortion 96 Decibel Operational Amplifier. In Barrett Bryant and Janice Carroll and Dave Oppenheim and Jim Hightower and K. M. George editors, Proceedings of the 1997 ACM Symposium on Applied Computing, pages 207-216, Hyatt Sainte Claire Hotel, San Jose, California, USA, 1997. details

  22. John R. Koza and Forrest H Bennett III and Jason Lohn and Frank Dunlap and Martin A. Keane and David Andre. Evolution of tri-state Frequency Discriminator for the Source Identification Problem using Genetic Programming. In Paul P. Wang editor, International Conference of Information Sciences, volume 1, pages 95-99, 1997. details

  23. Astro Teller and David Andre. Automatically Choosing the Number of Fitness Cases: The Rational Allocation of Trials. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 321-328, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  24. John R. Koza and Forrest H Bennett III and Jeffrey L. Hutchings and Stephen L. Bade and Martin A. Keane and David Andre. Rapidly Reconfigurable Field-Programmable Gate Arrays for Accelerating Fitness Evaluation in Genetic Programming. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 121-131, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  25. John R. Koza and Forrest H Bennett III and David Andre and Martin A Keane. Reuse, parameterized reuse, and hierarchical reuse of substructures in evolving electrical circuits using genetic programming. In Tetsuya Higuchi and Iwata Masaya and Weixin Liu editors, Proceedings of International Conference on Evolvable Systems: From Biology to Hardware (ICES-96), volume 1259, Tsukuba, Japan, 1996. Springer-Verlag. details

  26. John R. Koza and David Andre and Forrest H Bennett III and Martin A. Keane. Evolution of a Low-Distortion, Low-Bias 60 Decibel Op Amp with Good Frequency Generalization using Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 94-100, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  27. John R. Koza and David Andre. Evolution of iteration in genetic programming. In Lawrence J. Fogel and Peter J. Angeline and Thomas Baeck editors, Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming, San Diego, 1996. MIT Press. details

  28. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Toward evolution of electronic animals using genetic programming. In Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems, 1996. MIT Press. details

  29. John R. Koza and David Andre. A case study where biology inspired a solution to a computer science problem. In Lawrence Hunter and Teri E. Klein editors, Pacific Symposium on Biocomputing '96, pages 500-511, 1996. World Scientific. details

  30. John R. Koza and Forrest H Bennett III and David Andre and Martin A Keane. Automated design of both the topology and sizing of analog electrical circuits using genetic programming. In John S. Gero and Fay Sudweeks editors, Artificial Intelligence in Design '96, pages 151-170, Dordrecht, 1996. Kluwer Academic. details

  31. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Automated WYWIWYG Design of Both the Topology and Component Values of Electrical Circuits Using Genetic Programming. In 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, pages 123-131, Stanford University, CA, USA, 1996. MIT Press. details

  32. John R. Koza and David Andre and Forrest H Bennett III and Martin A. Keane. Use of Automatically Defined Functions and Architecture-Altering Operations in Automated Circuit Synthesis with Genetic Programming. In 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, pages 132-149, Stanford University, CA, USA, 1996. MIT Press. details

  33. John R. Koza and David Andre and Forrest H Bennett III and Martin A. Keane. Design of a 96 Decibel operational amplifier and other problems for which a computer program evolved by genetic programming is competitive with human performance. In Mitsuo Gen and Weixuan Zu editors, Proceedings of l996 Japan-China Joint International Workshop on Information Systems, pages 30-49, Ashikaga, 1996. details

  34. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Four problems for which a computer program evolved by genetic programming is competitive with human performance. In Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, volume 1, pages 1-10, 1996. IEEE Press. details

  35. Forrest H Bennett III and John R. Koza and David Andre and Martin A. Keane. Evolution of a 60 Decibel op amp using genetic programming. In Tetsuya Higuchi and Iwata Masaya and Weixin Liu editors, Proceedings of International Conference on Evolvable Systems: From Biology to Hardware (ICES-96), volume 1259, Tsukuba, Japan, 1996. Springer-Verlag. details

  36. David Andre and John R. Koza. A parallel implementation of genetic programming that achieves super-linear performance. In Hamid R. Arabnia editor, Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, volume III, pages 1163-1174, Sunnyvale, 1996. CSREA. details

  37. David Andre and Astro Teller. A Study in Program Response and the Negative Effects of Introns in Genetic Programming. In 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, pages 12-20, Stanford University, CA, USA, 1996. MIT Press. details

  38. David Andre and Forrest H Bennett III and John R. Koza. Discovery by Genetic Programming of a Cellular Automata Rule that is Better than any Known Rule for the Majority Classification Problem. In 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, pages 3-11, Stanford University, CA, USA, 1996. MIT Press. details

  39. David Andre and Forrest H Bennett III and John R. Koza. Evolution of Intricate Long-Distance Communication Signals in Cellular Automata using Genetic Programming. In Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems, volume 1, Nara, Japan, 1996. MIT Press. details

  40. John R. Koza and David Andre. Automatic Discovery Using Genetic Programming of an Unknown-Sized Detector of Protein Motifs Containing Repeatedly-used Subexpressions. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 89-97, Tahoe City, California, USA, 1995. details

  41. John R. Koza and David Andre. Evolution of Both the Architecture and the Sequence of Work-Performing Steps of a Computer Program Using Genetic Programming with Architecture-Altering Operations. In E. V. Siegel and J. R. Koza editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 50-60, MIT, Cambridge, MA, USA, 1995. AAAI. details

  42. John R. Koza and David Andre. Automated discovery of protein motifs with genetic programming. In E. V. Siegel and J. R. Koza editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 38-49, MIT, Cambridge, MA, USA, 1995. AAAI. details

  43. David Andre and John R. Koza. Parallel Genetic Programming on a Network of Transputers. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 111-120, Tahoe City, California, USA, 1995. details

  44. David Andre. The Automatic Programming of Agents that Learn Mental Models and Create Simple Plans of Action. In IJCAI-95 Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, volume 1, pages 741-747, Montreal, Quebec, Canada, 1995. Morgan Kaufmann. details

  45. David Andre. The Evolution of Agents that Build Mental Models and Create Simple Plans Using Genetic Programming. In Larry J. Eshelman editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 248-255, Pittsburgh, PA, USA, 1995. Morgan Kaufmann. details

  46. David Andre. Learning and Upgrading Rules for an OCR System Using Genetic Programming. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, Orlando, Florida, USA, 1994. IEEE Press. details

  47. David Andre. Evolution of Mapmaking Ability: Strategies for the evolution of learning, planning, and memory using genetic programming. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1, pages 250-255, Orlando, Florida, USA, 1994. IEEE Press. details

Genetic Programming book chapters by David Andre

  1. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Genetic Programming: Biologically Inspired Computation that Exhibits Creativity in Producing Human-Competitive Results. In Peter J. Bentley and David W. Corne editors, Creative Evolutionary Systems, chapter 10, pages 275-298. Morgan Kaufmann, 2001. details

  2. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Automatic design of analog electrical circuits using genetic programming. In Hugh Cartwright editor, Intelligent Data Analysis in Science, chapter 8, pages 172-200. Oxford University Press, Oxford, 2000. details

  3. John Koza and Forrest H Bennett III and David Andre and Martin A. Keane. The Design of Analog Circuits by Means of Genetic Programming. In Peter Bentley editor, Evolutionary Design by Computers, chapter 16, pages 365-385. Morgan Kaufmann, San Francisco, USA, 1999. details

  4. John R. Koza and David Andre. Automatic discovery of protein motifs using genetic programming. In Xin Yao editor, Evolutionary Computation: Theory and Applications, chapter 5, pages 171-197. World Scientific, Singapore, 1999. details

  5. David Andre. Learning and Upgrading Rules for an Optical Character Recognition System Using Genetic Programming. In Thomas Baeck and David B. Fogel and Zbigniew Michalewicz editors, Handbook of Evolutionary Computation, chapter section G8.1. Oxford University Press, 1997. details

  6. John R. Koza and David Andre. Classifying Protein Segments as Transmembrane Domains Using Architecture-Altering Operations in Genetic Programming. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 8, pages 155-176. MIT Press, Cambridge, MA, USA, 1996. details

  7. David Andre and John R. Koza. Parallel Genetic Programming: A Scalable Implementation Using The Transputer Network Architecture. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 16, pages 317-337. MIT Press, Cambridge, MA, USA, 1996. details

  8. David Andre. Automatically Defined Features: The Simultaneous Evolution of 2-Dimensional Feature Detectors and an Algorithm for Using Them. In Kenneth E. Kinnear, Jr. editor, Advances in Genetic Programming, chapter 23, pages 477-494. MIT Press, 1994. details

Genetic Programming technical reports by David Andre

Genetic Programming other entries for David Andre

  1. John R. Koza and Forrest H Bennett III and David Andre and Martin A. Keane. Genetic programming problem solver with automatically defined stores loops and recursions. 2003. details

  2. David Andre. Multi-level parallelism in automatically synthesizing soccer-playing programs for Robocup using genetic programming. 1998. details

  3. David Andre. Artificial Evolution of Intelligence: Lessons from natural evolution: An illustrative approach using Genetic Programming. 1994. details

  4. John R. Koza and David Andre and Walter Alden Tackett. Evolution of the Architecture of a Multi-Part Program to Solve a Problem Using Architecture Altering Operations. 1994. filed August 4, 1994. Issued April 21, 1998. 5,742,738. details