Discovery of subroutines in genetic programming
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[1] Justinian P. Rosca,et al. Causality in Genetic Programming , 1995, International Conference on Genetic Algorithms.
[2] John R. Koza,et al. Architecture-Altering Operations for Evolving the Architecture of a Multi-Part Program in Genetic Programming , 1994 .
[3] Steven Douglas Whitehead,et al. Reinforcement learning for the adaptive control of perception and action , 1992 .
[4] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[5] Anton Schwartz,et al. A Reinforcement Learning Method for Maximizing Undiscounted Rewards , 1993, ICML.
[6] Walter Alden Tackett,et al. Mining the Genetic Program , 1995, IEEE Expert.
[7] Dana H. Ballard,et al. Genetic Programming with Adaptive Representations , 1994 .
[8] Trevor Darrell,et al. Evolving Visual Routines , 1994, Artificial Life.
[9] Peter J. Angeline,et al. Genetic programming and emergent intelligence , 1994 .
[10] Terry Jones,et al. Crossover, Macromutationand, and Population-Based Search , 1995, ICGA.
[11] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[12] Una-May O'Reilly,et al. The Troubling Aspects of a Building Block Hypothesis for Genetic Programming , 1994, FOGA.
[13] Peter J. Angeline,et al. Explicitly Defined Introns and Destructive Crossover in Genetic Programming , 1996 .
[14] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[15] Justinian P. Rosca,et al. An Analysis of Hierarchical Genetic Programming , 1995 .
[16] Peter A. Whigham,et al. Grammatically-based Genetic Programming , 1995 .
[17] Ryszard S. Michalski,et al. A Theory and Methodology of Inductive Learning , 1983, Artificial Intelligence.
[18] Ben J. A. Kröse,et al. Learning from delayed rewards , 1995, Robotics Auton. Syst..
[19] John R. Koza,et al. Genetic Programming II , 1992 .
[20] Craig W. Reynolds. Evolution of obstacle avoidance behavior: using noise to promote robust solutions , 1994 .
[21] Walter Alden Tackett,et al. Genetic Programming for Feature Discovery and Image Discrimination , 1993, ICGA.
[22] Michael L. Littman,et al. Memoryless policies: theoretical limitations and practical results , 1994 .
[23] Justinian P. Rosca,et al. Hierarchical Self-Organization in Genetic programming , 1994, ICML.
[24] Justinian P. Rosca,et al. Genetic Programming Exploratory Power and the Discovery of Functions , 1995, Evolutionary Programming.
[25] David J. Montana,et al. Strongly Typed Genetic Programming , 1995, Evolutionary Computation.
[26] David Andre,et al. The Evolution of Agents that Build Mental Models and Create Simple Plans Using Genetic Programming , 1995, ICGA.
[27] Stewart W. Wilson. ZCS: A Zeroth Level Classifier System , 1994, Evolutionary Computation.
[28] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[29] L. Altenberg. The evolution of evolvability in genetic programming , 1994 .
[30] Andrew McCallum,et al. Reinforcement learning with selective perception and hidden state , 1996 .