Jason M. Daida

According to our database, Jason M. Daida authored at least 25 papers between 1994 and 2007.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2007

Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms.

Michael E. Samples, Matthew J. Byom, Jason M. Daida

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

2006

Characterizing the dynamics of symmetry breaking in genetic programming.

Jason M. Daida

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

Visualizing Tree Structures in Genetic Programming.

Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long

Genet. Program. Evolvable Mach., 2005

Parameter sweeps for exploring GP parameters.

Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Probing for limits to building block mixing with a tunably-difficult problem for genetic programming.

Jason M. Daida, Michael E. Samples, Matthew J. Byom

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Towards identifying populations that increase the likelihood of success in genetic programming.

Jason M. Daida

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Visualizing the loss of diversity in genetic programming.

Jason M. Daida, David J. Ward, Adam M. Hilss, Stephen L. Long, Mark R. Hodges, Jason T. Kriesel

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Demonstrating constraints to diversity with a tunably difficult problem for genetic programming.

Jason M. Daida, Michael E. Samples, Bryan T. Hart, Jeffry Halim, Aditya Kumar

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes.

Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. Hilss

Proceedings of the Genetic and Evolutionary Computation, 2003

Identifying Structural Mechanisms in Standard Genetic Programming.

Jason M. Daida, Adam M. Hilss

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

Limits to expression in genetic programming: lattice-aggregate modeling.

Jason M. Daida

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming.

Jason M. Daida, Robert R. Bertram, Stephen A. Stanhope, Jonathan C. Khoo, Shahbaz A. Chaudhary, Omer A. Chaudhri, John Polito

Genet. Program. Evolvable Mach., 2001

2000

Classification of Spectral Image Using Genetic Programming.

Patrick J. Rauss, Jason M. Daida, Shahbaz A. Chaudhary

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Characterizing a Tunably Difficult Problem in Genetic Programming.

Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo, Wendell S. Richardsons, Rachel Harrison, William J. Sloat

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999

What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming.

Jason M. Daida, John Polito, Steven A. Stanhope, Robert R. Bertram, Jonathan C. Khoo, Shahbaz A. Chaudhary

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic.

Jason M. Daida, Derrick S. Ampy, Michael Ratanasavetavadhana, Hsiaolei Li, Omar A. Chaudhri

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

(1+1) genetic algorithm fitness dynamics in a changing environment.

Stephen A. Stanhope, Jason M. Daida

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Of metaphors and Darwinism: deconstructing genetic programming's chimera.

Jason M. Daida, Seth P. Yalcin, Paul M. Litvak, Gabriel A. Eickhoff, John A. Polit

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Genetic Programming for Automatic Target Classification and Recognition.

Stephen A. Stanhope, Jason M. Daida

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Optimal Mutation and Crossover Rates for a Genetic Algorithm Operating in a Dynamic Environment.

Stephen A. Stanhope, Jason M. Daida

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997

An Individually Variable Mutation-Rate Strategy for Genetic Algorithms.

Stephen A. Stanhope, Jason M. Daida

Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis.

John Polito, Jason M. Daida, Tommaso F. Bersano-Begey

Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

1996

Symbionticism and Complex Adaptive Systems I: Implications of Having Symbiosis Occur in Nature.

Jason M. Daida, Catherine S. Grasso, Stephen A. Stanhope, Steven J. Ross

Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

1995

Biological Symbiosis as a Metaphor for Computational Hybridization.

Jason M. Daida, Steven J. Ross, Brian C. Hannan

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994

Hybrid Computational Architectures for Image Segmentation.

Jason M. Daida

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994