Genetic Programming Bibliography entries for Jason M Daida

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GP coauthors/coeditors: Wolfgang Banzhaf, Gusz Eiben, Max H Garzon, Vasant Honavar, Mark Jakiela, Robert E Smith, Tommaso F Bersano-Begey, John F Vesecky, Frank L Ludwig, Robert R Bertram, Guy A Meadows, Christian Wolf, Omar A Chaudhri, Jonathan C Khoo, Wendell S Richardson, Rachel B Harrison, William J Sloat, Jonathan D Hommes, Steven J Ross, R G Onstott, D R Lyzenga, D T Walker, Stephen A Stanhope, D E Lund, Jeffrey J McClain, Derrick S Ampy, Michael Holczer, Catherine S Grasso, John A Polito 2, Michael Ratanasavetavadhana, Hsiaolei Li, Shahbaz A Chaudhary, Seth P Yalcin, Paul M Litvak, Gabriel A Eickhoff, Adam M Hilss, David J Ward, Stephen L Long, Ricky Tang, Michael E Samples, Bryan Hart, Jeffry Halim, Aditya Kumar, Mark Hodges, Jason T Kriesel, Matthew J Byom, Patrick J Rauss, Chau M Doan, Matt Pizzimenti, Eric A Wollesen, Nicolai Krakowiak,

Genetic Programming Articles by Jason M Daida

Genetic Programming Conference proceedings edited by Jason M Daida

Genetic Programming conference papers by Jason M Daida

  1. Jason M. Daida. Characterizing the dynamics of symmetry breaking in genetic programming. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 799-806, Seattle, Washington, USA, 2006. ACM Press. details

  2. Michael E. Samples and Jason M. Daida and Matt Byom and Matt Pizzimenti. Parameter Sweeps For Exploring GP Parameters. In Franz Rothlauf and Misty Blowers and J\"urgen Branke and Stefano Cagnoni and Ivan I. Garibay and Ozlem Garibay and J\"orn Grahl and Gregory Hornby and Edwin D. de Jong and Tim Kovacs and Sanjeev Kumar and Claudio F. Lima and Xavier Llor\`a and Fernando Lobo and Laurence D. Merkle and Julian Miller and Jason H. Moore and Michael O'Neill and Martin Pelikan and Terry P. Riopka and Marylyn D. Ritchie and Kumara Sastry and Stephen L. Smith and Hal Stringer and Keiki Takadama and Marc Toussaint and Stephen C. Upton and Alden H. Wright editors, Genetic and Evolutionary Computation Conference (GECCO2005) workshop program, pages 212-219, Washington, D.C., USA, 2005. ACM Press. details

  3. Michael E. Samples and Jason M. Daida and Matthew Byom and Matt Pizzimenti. Parameter sweeps for exploring GP parameters. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1791-1792, Washington DC, USA, 2005. ACM Press. details

  4. Jason M. Daida and Michael E. Samples and Matthew J. Byom. Probing for limits to building block mixing with a tunably-difficult problem for genetic programming. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1713-1720, Washington DC, USA, 2005. ACM Press. details

  5. Jason M. Daida. Towards identifying populations that increase the likelihood of success in genetic programming. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1627-1634, Washington DC, USA, 2005. ACM Press. details

  6. Jason M. Daida and David J. Ward and Adam M. Hilss and Stephen L. Long and Mark R. Hodges and Jason T. Kriesel. Visualizing the Loss of Diversity in Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 1225-1232, Portland, Oregon, 2004. IEEE Press. details

  7. Jason M. Daida and Michael E. Samples and Bryan T. Hart and Jeffry Halim and Aditya Kumar. Demonstrating Constraints to Diversity with a Tunably Difficulty Problem for Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 1217-1224, Portland, Oregon, 2004. IEEE Press. details

  8. Jason M. Daida and Adam M. Hilss and David J. Ward and Stephen L. Long. Visualizing Tree Structures in Genetic Programming. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1652-1664, Chicago, 2003. Springer-Verlag. details

  9. Jason M. Daida and Hsiaolei Li and Ricky Tang and Adam M. Hilss. What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1665-1677, Chicago, 2003. Springer-Verlag. details

  10. Jason M. Daida and Adam M. Hilss. Identifying Structural Mechanisms in Standard Genetic Programming. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1639-1651, Chicago, 2003. Springer-Verlag. details

  11. Jason M. Daida. Limits to Expression in Genetic Programming: Lattice-Aggregate Modeling. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 273-278, 2002. IEEE Press. details

  12. Patrick J. Rauss and Jason M. Daida and Shahbaz Chaudhary. Classification of Spectral Imagery Using Genetic Programming. In 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), pages 726-733, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  13. Omer A. Chaudhri and Jason M. Daida and Jonathan C. Khoo and Wendell S. Richardson and Rachel B. Harrison and William J. Sloat. Characterizing a Tunably Difficult Problem in Genetic Programming. In 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), pages 395-402, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  14. Eric A. Wollesen and Nicolai Krakowiak and Jason M. Daida. Beowulf anytime for evolutionary computation. In Scott Brave and Annie S. Wu editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 298-304, Orlando, Florida, USA, 1999. details

  15. Jason M. Daida. Reconnoiter by Candle: Identifying Assumptions in Genetic Programming. In Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors, Foundations of Genetic Programming, pages 53-54, Orlando, Florida, USA, 1999. details

  16. Jason M. Daida and Seth P. Yalcin and Paul M. Litvak and Gabriel A. Eickhoff and John A. Polito. Of Metaphors and Darwinism: Deconstructing Genetic Programming's Chimera. In Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala editors, Proceedings of the Congress on Evolutionary Computation, volume 1, pages 453-462, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  17. Jason M. Daida and John A. Polito and Steven A. Stanhope and Robert R. Bertram and Jonathan C. Khoo and Shahbaz A. Chaudhary. What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 982-989, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  18. Jason M. Daida and Derrick S. Ampy and Michael Ratanasavetavadhana and Hsiaolei Li and Omar A. Chaudhri. Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1851-1858, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  19. Stephen A. Stanhope and Jason M. Daida. Genetic Programming for Automatic Target Classification and Recognition in Synthetic Aperture Radar Imagery. 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, pages 735-744, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  20. Stephen A. Stanhope and Jason M. Daida. An Individually Variable Mutation-Rate Strategy for Genetic Algorithms. In Peter J. Angeline and Robert G. Reynolds and John R. McDonnell and Russ Eberhart editors, Evolutionary Programming VI: Proceedings of the Sixth Annual Conference on Evolutionary Programming, volume 1213, pages 235-245, Indianapolis, Indiana, USA, 1997. Springer-Verlag. details

  21. Jason Daida and Steven Ross and Jeffrey McClain and Derrick Ampy and Michael Holczer. Challenges with Verification, Repeatability, and Meaningful Comparisons in 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 64-69, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  22. Tommaso F. Bersano-Begey and Jason M. Daida and John F. Vesecky and Frank L. Ludwig. A Java Collaborative Interface for Genetic Programming Applications: Image Analysis and Scientific Inquiry. In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, Indianapolis, 1997. IEEE Press. details

  23. Stephen A. Stanhope and Jason M. Daida. Genetic Programming for Target Classification and Identification in Synthetic Aperture Radar Imagery. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 224-230, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  24. J. Polito and J. Daida and T. F. Bersano-Begey. Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis. In Peter J. Angeline and Robert G. Reynolds and John R. McDonnell and Russ Eberhart editors, Evolutionary Programming VI: Proceedings of the Sixth Annual Conference on Evolutionary Programming, volume 1213, pages 113-123, Indianapolis, Indiana, USA, 1997. Springer-Verlag. details

  25. Jason M. Daida and Robert R. Bertram and Catherine S. Grasso and Stephen A. Stanhope. Tagging as a Means for Self-Adaptive Hybridization. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 42-50, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  26. Robert R. Bertram and Jason M. Daida and John F. Vesecky and Guy A. Meadows and Christian Wolf. Reconstructing Incomplete Signals Using Nonlinear Interpolation and Genetic Algorithms. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 19-27, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  27. Tommaso F. Bersano-Begey and Jason M. Daida. A Discussion on Generality and Robustness and a Framework for Fitness Set Construction in Genetic Programming to Promote Robustness. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 11-18, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  28. Steven J. Ross and Jason M. Daida and Chau M. Doan and Tommaso F. Bersano-Begey and Jeffrey J. McClain. Variations in Evolution of Subsumption Architectures Using Genetic Programming: The Wall Following Robot Revisited. 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 191-199, Stanford University, CA, USA, 1996. MIT Press. details

  29. J. M. Daida and R. G. Onstott and T. F. Bersano-Begey and S. J. Ross and J. F. Vesecky. Ice Roughness Classification and ERS SAR Imagery of Arctic Sea Ice: Evaluation of Feature-Extraction Algorithms by Genetic Programming. In Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, pages 1520-1522, Lincoln, NE, USA, 1996. IEEE Press. details

  30. J. M. Daida and T. F. Bersano-Begey and S. J. Ross and J. F. Vesecky. Evolving Feature-Extraction Algorithms: Adapting Genetic Programming for Image Analysis in Geoscience and Remote Sensing. In Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, pages 2077-2079, 1996. IEEE Press. details

  31. Jason M. Daida and Tommaso F. Bersano-Begey and Steven J. Ross and John F. Vesecky. Computer-Assisted Design of Image Classification Algorithms: Dynamic and Static Fitness Evaluations in a Scaffolded Genetic Programming Environment. 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 279-284, Stanford University, CA, USA, 1996. MIT Press. details

  32. J. M. Daida and R. R. Bertram and D. R. Lyzenga and C. Wolf and D. T. Walker and S. A. Stanhope and G. A. Meadows and J. F. Vesecky and D. E. Lund. Measuring Small-Scale Water Surface Waves: Nonlinear Interpolation and Integration Techniques for Slope Image Data. In Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, pages 2219-2221, 1996. IEEE Press. details

  33. Tommaso F. Bersano-Begey and Jason M. Daida and John F. Vesecky and Frank L. Ludwig. A Platform-Independent Collaborative Interface for Genetic Programming Applications: Image Analysis for Scientific Inquiry. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 1-8, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  34. J. M. Daida and J. D. Hommes and S. J. Ross and J. F. Vesecky. Extracting curvilinear features from SAR images of arctic ice: Algorithm discovery using the genetic programming paradigm. In T. Stein editor, Proceedings of IEEE International Geoscience and Remote Sensing, pages 673-675, Florence, Italy, 1995. IEEE Press. details

Genetic Programming book chapters by Jason M Daida

  1. Michael E. Samples and Matthew J. Byom and Jason M. Daida. Parameter Sweeps for Exploring Parameters Spaces of Genetic and Evolutionary Algorithms. In Fernando G. Lobo and Claudio F. Lima and Zbigniew Michalewicz editors, Parameter Setting in Evolutionary Algorithms, chapter 8, pages 161-184. Springer, 2007. details

  2. Jason M. Daida and Ricky Tang and Michael E. Samples and Matthew J. Byom. Phase Transitions in Genetic Programming Search. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 237-256. Springer, Ann Arbor, 2006. details

  3. Jason Daida. Challenges in Open-Ended Problem Solving with Genetic Programming. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 17, pages 259-274. Springer, Ann Arbor, 2005. details

  4. Jason Daida. Considering the Roles of Structure in Problem Solving by a Computer. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 5, pages 67-86. Springer, Ann Arbor, 2004. details

  5. Jason M. Daida. What Makes a Problem GP-Hard? A Look at How Structure Affects Content. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 7, pages 99-118. Kluwer, 2003. details

  6. Jason M. Daida and Robert R. Bertram and John A. Polito~2 and Stephen A. Stanhope. Analysis of Single-Node (Building) Blocks in Genetic Programming. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 10, pages 217-241. MIT Press, Cambridge, MA, USA, 1999. details

  7. Jason M. Daida and Jonathan D. Hommes and Tommaso F. Bersano-Begey and Steven J. Ross and John F. Vesecky. Algorithm Discovery Using the Genetic Programming Paradigm: Extracting Low-Contrast Curvilinear Features from SAR Images of Arctic Ice. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 21, pages 417-442. MIT Press, Cambridge, MA, USA, 1996. details