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

, , , , , , and . Genet. Program. Evolvable Mach., 2 (2): 165-191 (2001)

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Symbionticism and Complex Adaptive Systems I: Implications of Having Symbiosis Occur in Nature., , , and . Evolutionary Programming, page 177-186. MIT Press, (1996)What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes., , , and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 1665-1677. Springer, (2003)Visualizing Tree Structures in Genetic Programming., , , and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 1652-1664. Springer, (2003)Classification of Spectral Image Using Genetic Programming., , and . GECCO, page 726-733. Morgan Kaufmann, (2000)Parameter Sweeps for Exploring Parameters Spaces of Genetic and Evolutionary Algorithms, , and . Parameter Setting in Evolutionary Algorithms, chapter 8, Springer, (2007)Genetic Programming for Automatic Target Classification and Recognition in Synthetic Aperture Radar Imagery, and . Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447 of LNCS, page 735--744. Mission Valley Marriott, San Diego, California, USA, Springer-Verlag, (25-27 March 1998)A Platform-Independent Collaborative Interface for Genetic Programming Applications: Image Analysis for Scientific Inquiry, , , and . Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, page 1--8. Stanford University, CA, USA, Stanford Bookstore, (28--31 July 1996)A Java Collaborative Interface for Genetic Programming Applications: Image Analysis and Scientific Inquiry, , , and . Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, Indianapolis, IEEE Press, (13-16 April 1997)What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming, , , , , , and . Genetic Programming and Evolvable Machines, 2 (2): 165--191 (June 2001)Algorithm Discovery Using the Genetic Programming Paradigm: Extracting Low-Contrast Curvilinear Features from SAR Images of Arctic Ice, , , , and . Advances in Genetic Programming 2, chapter 21, MIT Press, Cambridge, MA, USA, (1996)