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Visualizing the loss of diversity in genetic programming.

, , , , , and . IEEE Congress on Evolutionary Computation, page 1225-1232. IEEE, (2004)

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Characterizing a Tunably Difficult Problem in Genetic Programming., , , , , and . GECCO, page 395-402. Morgan Kaufmann, (2000)Visualizing Tree Structures in Genetic Programming., , , and . Genetic Programming and Evolvable Machines, 6 (1): 79-110 (2005)Genetic Programming for Automatic Target Classification and Recognition., and . Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, page 735-744. Springer, (1998)An Individually Variable Mutation-Rate Strategy for Genetic Algorithms., and . Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, page 235-246. Springer, (1997)Parameter Sweeps for Exploring Parameter Spaces of Genetic and Evolutionary Algorithms., , and . Parameter Setting in Evolutionary Algorithms, volume 54 of Studies in Computational Intelligence, Springer, (2007)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 (2001)Musica ex Machina: Composing 16th-Century Counterpoint with Genetic Programming and Symbiosis., , and . Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, page 113-124. Springer, (1997)Hybrid Computational Architectures for Image Segmentation.. ICIP (3), page 831-835. IEEE Computer Society, (1994)Visualizing the loss of diversity in genetic programming., , , , , and . IEEE Congress on Evolutionary Computation, page 1225-1232. IEEE, (2004)Identifying Structural Mechanisms in Standard Genetic Programming., and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 1639-1651. Springer, (2003)