Genetic Programming Bibliography entries for Larry M Deschaine

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8120

GP coauthors/coeditors: Fred A Zafran, Janardan J Patel, David Amick, Robert Pettit, Frank D Francone, Peter Nordin, Edward Dilkes, Laurene V Fausett, Ronald D Guthrie, Joseph T Grimski, Maurice J Ades, Jennifer McCormack, D Pyle, Richard A Hoover, Joseph N Skibinski, Janos D Pinter, Sudip Regmi, Melissa C McKay, Jeffrey J Warren, Seth Blanchard, Wolfgang Banzhaf, Thomas R Battenhouse Jr, Sharad R Regmi,

Genetic Programming Articles by Larry M Deschaine

  1. Larry M. Deschaine and Peter Nordin and Janos D. Pinter. A computational geometric/information theoretic method to invert physics-based MEC models attributes for MEC discrimination. Journal of Mathematical Machines and Systems, 2011. details

  2. Larry M. Deschaine. Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence, Springer, 2008, 322 pp, ISBN 978-3-540-75770-2. Genetic Programming and Evolvable Machines, 9(4):371-372, 2008. Book Review. details

  3. Larry Deschaine. Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface. GeoDrilling International, 2006. details

  4. Frank D. Francone and Larry M. Deschaine. Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming. Information Sciences, 161(3-4):99-120, 2004. FEA 2002. details

  5. Larry M. Deschaine. Simulation and Optimization of Large Scale Subsurface Environmental Impacts; Investigations, Remedial Design and Long Term Monitoring. Journal of Mathematical Machines and Systems, 2003. details

  6. L. M. Deschaine and Jennifer McCormack and D. Pyle and F. Francone. Genetic Algorithms and Intelligent Agents Team Up: Techniques for Data Assembly, Preprocessing, Modeling, and Decision Optimization. PCAI magazine, 15(3):38-44, 2001. details

  7. Larry M. Deschaine. Tackling Real-World Environmental Challenges with Linear Genetic Programming. PCAI, 15(5):35-37, 2000. details

Genetic Programming PhD doctoral thesis Larry M Deschaine

Genetic Programming conference papers by Larry M Deschaine

  1. Frank D. Francone and Larry M. Deschaine and Jeffrey J. Warren. Discrimination of munitions and explosives of concern at F.E. Warren AFB using linear genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1999-2006, London, 2007. ACM Press. details

  2. Larry M. Deschaine and Frank D. Francone and Janos D. Pinter and Melissa McKay and Jeff Warren and Seth Blanchard. Finding and Identifying Objects Based on Noisy Data: A Global Optimization Approach - Part 1: Theoretical Approach and Applicability with Deployment Examples; and Part 2 UXO Finding and Discrimination. Results from Field Production: Translation of R\&D work into Field Production Tools UXOMF. In Tuula Kinnunen editor, EURO XXI, Reykjavik, Iceland, 2006. details

  3. Frank D. Francone and Larry M. Deschaine and Tom Battenhouse and Jeffrey J. Warren. Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming. In Maarten Keijzer editor, Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2004. details

  4. Sudip Regmi and Larry M. Deschaine and Sharad R. Regmi. High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization. In 2004 Business and Industry Symposium, Arlington, Virginia, USA, 2004. details

  5. Frank D. Francone and Larry M. Deschaine. Getting It Right at the Very Start -- Building Project Models where Data Is Expensive by Combining Human Expertise, Machine Learning and Information Theory. In 2004 Business and Industry Symposium, Washington, DC, 2004. details

  6. Larry Deschaine and Janos D. Pinter and Sudip Regmi. Developing High Fidelity Approximations to Expensive Simulation Models for Expedited Optimization. In Donna Llewellyn editor, INFORMS Annual Meeting Conference, Atlanta, Georgia, USA, 2003. Presented at. details

  7. Larry M. Deschaine and Frank D. Francone. Design Optimization Integrating the Outer Approximation Method with Process Simulators and Linear Genetic Programming. In H. John Caulfield and Shu-Heng Chen and Heng-Da Cheng and Richard J. Duro and Vasant Honavar and Etienne E. Kerre and Mi Lu and Manuel Grana Romay and Timothy K. Shih and Dan Ventura and Paul P. Wang and Yuanyuan Yang editors, Proceedings of the 6th Joint Conference on Information Science, pages 618-621, Research Triangle Park, North Carolina, USA, 2002. JCIS / Association for Intelligent Machinery, Inc.. details

  8. Larry M. Deschaine and Richard A. Hoover and Joseph N. Skibinski and Janardan J. Patel and Frank Francone and Peter Nordin and M. J. Ades. Using Machine Learning to Compliment and Extend the Accuracy of UXO Discrimination Beyond the Best Reported Results of the Jefferson Proving Ground Technology Demonstration. In 2002 Advanced Technology Simulation Conference, pages 46-52, San Diego, CA, USA, 2002. details

  9. Larry M. Deschaine and Janardan J. Patel and Ronald D. Guthrie and Joseph T. Grimski and M. J. Ades. Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator. In M. Ades editor, Advanced Technology Simulation Conference, pages 41-48, Seattle, 2001. details

  10. Larry M. Deschaine and Fred A. Zafran and Janardan J. Patel and David Amick and Robert Pettit and Frank D. Francone and Peter Nordin and Edward Dilkes and Laurene V. Fausett. Solving the Unsolved Using Machine Learning, Data Mining and Knowledge Discovery to Model a Complex Production Process. In M. Ades editor, Advanced Technology Simulation Conference, Wasington, DC, USA, 2000. details

Genetic Programming book chapters by Larry M Deschaine

Genetic Programming technical reports by Larry M Deschaine

Genetic Programming other entries for Larry M Deschaine