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First name:	Jason M.
Last name:	Daida
DBLP:	63/2846
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	Michael E. Samples, Matthew J. Byom, Jason M. Daida. Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms.	Parameter Setting in Evolutionary Algorithms 2007, Volume 54	(0)	2007
	Jason M. Daida. Characterizing the dynamics of symmetry breaking in genetic programming.	Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006 2006	(0)	2006
	Jason M. Daida. Towards identifying populations that increase the likelihood of success in genetic programming.	Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005 2005	(0)	2005
	Jason M. Daida, Michael E. Samples, Matthew J. Byom. Probing for limits to building block mixing with a tunably-difficult problem for genetic programming.	Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005 2005	(0)	2005
	Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti. Parameter sweeps for exploring GP parameters.	Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005 2005	(0)	2005
	Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti. Parameter sweeps for exploring GP parameters.	Genetic and Evolutionary Computation Conference, GECCO 2005, Workshop Proceedings, Washington DC, USA, June 25-26, 2005 2005	(0)	2005
	Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long. Visualizing Tree Structures in Genetic Programming.	Genetic Programming and Evolvable Machines 2005, Volume 6	(0)	2005
	Jason M. Daida, Adam M. Hilss. Identifying Structural Mechanisms in Standard Genetic Programming.	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II 2003	(0)	2003
	Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long. Visualizing Tree Structures in Genetic Programming.	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II 2003	(0)	2003
	Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. Hilss. What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes.	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II 2003	(0)	2003
	Jason M. Daida, Robert R. Bertram, Stephen A. Stanhope, Jonathan C. Khoo, Shahbaz A. Chaudhary, Omer A. Chaudhri, John Polito. What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming.	Genetic Programming and Evolvable Machines 2001, Volume 2	(0)	2001
	Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo, Wendell S. Richardsons, Rachel Harrison, William J. Sloat. Characterizing a Tunably Difficult Problem in Genetic Programming.	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 2000	(0)	2000
	Patrick J. Rauss, Jason M. Daida, Shahbaz A. Chaudhary. Classification of Spectral Image Using Genetic Programming.	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 2000	(0)	2000
	Jason M. Daida, Derrick S. Ampy, Michael Ratanasavetavadhana, Hsiaolei Li, Omar A. Chaudhri. Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic.	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA 1999	(0)	1999
	Jason M. Daida, John Polito, Steven A. Stanhope, Robert R. Bertram, Jonathan C. Khoo, Shahbaz A. Chaudhary. What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming.	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA 1999	(0)	1999
	Stephen A. Stanhope, Jason M. Daida. Optimal Mutation and Crossover Rates for a Genetic Algorithm Operating in a Dynamic Environment.	Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings 1998	(0)	1998
	Stephen A. Stanhope, Jason M. Daida. Genetic Programming for Automatic Target Classification and Recognition.	Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings 1998	(0)	1998
	John Polito, Jason M. Daida, Tommaso F. Bersano-Begey. Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis.	Evolutionary Programming VI, 6th International Conference, EP97, Indianapolis, Indiana, USA, April 13-16, 1997, Proceedings 1997	(0)	1997
	Stephen A. Stanhope, Jason M. Daida. An Individually Variable Mutation-Rate Strategy for Genetic Algorithms.	Evolutionary Programming VI, 6th International Conference, EP97, Indianapolis, Indiana, USA, April 13-16, 1997, Proceedings 1997	(0)	1997
	Jason M. Daida, Catherine S. Grasso, Stephen A. Stanhope, Steven J. Ross. Symbionticism and Complex Adaptive Systems I: Implications of Having Symbiosis Occur in Nature.	Evolutionary Programming 1996	(0)	1996
	Jason M. Daida, Steven J. Ross, Brian C. Hannan. Biological Symbiosis as a Metaphor for Computational Hybridization.	Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995 1995	(0)	1995
	Jason M. Daida. Hybrid Computational Architectures for Image Segmentation.	ICIP (3) 1994	(0)	1994

Your query returned 22 matches in the database.