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Genetic ProgrammingSound Photosynthesis features videos, tapes, CDs, books and more in a wide range of topics, including science, health, spirituality, mind, brain, consciousness, cosmos and more.
A Study in Program Response and the Negative Effects of Introns: Andre and; Ontogenetic Programming: Spector & Stoffel; Generality Versus Size in GP: Rosca; The Benefits of Computing with Introns: Wineberg and Oppacher
ADFs and Architecture-Altering Operations in Automated Circuit Synthesis: Koza, Andre, Bennett, and Keane; The Generality of ADFs: O'Reilly. ; Evolving Deterministic Finite Automata: Brave; The Wall Following Robot Revisited; Ross, Daida, Doan, Bersano-Begey, McClain
Advanced Genetic Programming (tutorial) Stanford University
Automated Design of Circuits, Koza, Bennett, Andre, and Keane. Fractal Movies, Angeline. Discriminating between Chaotic Signals and Noise, Fogel and Fogel. Discovering Patterns in Spatial Data, Ghozeil and Fogel. Evolving Reduced Parameter Bilinear Models, Rao and Chellapilla
Automatic Generation of Object-Oriented Programs Using GP: Bruce; Recognition and Reconstruction of Visibility Graphs Using a Genetic Algorithm: Veach; Evolutionary Algorithms for Natural Language Processing: Dunning and Davis
Bargaining by Artificial Agents: Dworman, Kimbrough, and Laing; GP and the Efficient Market Hypothesis: Chen and Yeh. Parallel GP: Oussaidene, Chopard, Pictet. and Tomassini. Improved Direct Acyclic Graph Evaluation: Ehrenburg,
Cellular Encoding (tutorial) Stanford University
Classifier System Renaissance: Cribbs and Smith; Three-Dimensional Shape Optimization: Richards and Sheppard; Natural Niching: Horn and Goldberg; Genetic Algorithms with Analytical Solution: Gelenbe
Computer-Assisted Design of Image Classification: Daida, Bersano-Begey, Ross, and Vesecky; Programmatic Compression of Images and Sound: Nordin and Banzhaf; GP for Image Analysis: Poli; Evolving Edge Detectors: Harris and Buxton
Discovery by GP of a CA Rule, Andre, Bennett, and Koza. Facility Layout Problems Using Genetic Programming, Garces-Perez, Schoenefeld, and Wainwright. Silicon Evolution, Thompson. G P of Near-Minimum-Time Spacecraft Attitude Maneuvers, Howley Genetic Programming Conference 1996
Distributed GP. Niwa and Iba. Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs, Walsh and Ryan. Motion Planning and Design of CAM, Faglia and Vetturi. An Adverse Interaction between Crossover and Restricted Tree Depth, Gathercole and Ross
ECHO (tutorial) Santa Fe Institute
Evolutionary Computation for Constraint Optimization (tutorial) University of North Carolina
Evolutionary Programming and Evolution Strategies (tutorial) University of California, San Diego. NOTE: the first 20 minutes of this tape has very poor (but understandable if you try) sound.
Evolvable Hardware (tutorial) HUGO DE GARIS, ATR, KYOTO, JAPAN; ADRIAN THOMPSONUniversity of Sussex, UK . This tape is extremely interesting and far out. Exciting results from the forefront of research into evolving artifical brains and intelligent robots.
Evolving Control Laws: Montana and Czerwinski; Evolving Agents: Qureshi; Dynamic Process Models: Marenbach, Bettenhausen, and Freyer; High-Performance GP: Stoffel and Spector
Evolving Event Driven Programs: Crosbie and Spafford; Specification Refinement: Haynes, Gamble, Knight, and Wainwright; Discovering Commonalities in Collection of Objects: Ryu and Eick; Evolving Strategies Based on the Nearest Neighbor Rule: Fuchs
Genetic Programming using Mathematica (tutorial) Merck Research Laboratories
Genetic Programming with Linear Genomes (tutorial) University of Dortmund, Germany
GP and L-Systems: Jacob; A Comparison between Cellular Encoding and Direct: Gruau, Whitley, and Pyeatt; Code Growth: Soule, Foster, and Dickinson; Cultural Transmission of Information: Spector and Luke
GP for Improved Data: Raymer, Punch, Goodman, and Kuhn; Amino Acid Residues via GP: Handley; Maximum Clique: Soule, Foster, and Dickinson; Recurrent Neural Network Architectures: Esparcia-Alcazar and Sharman
GP in Database Query Optimization: Stillger and Spiliopoulou; Classification using Cultural Co-Evolution and GP: Abramson and Hunter, Disc: Horn.; Type-Constrained GP for Rule-Base Definition in Fuzzy Logic Controllers: Alba, Cotta, and Troyo
VARIOUS: GP-96 All available GP videos in a set
Hidden Order Santa Fe Institute
Introduction and Administrative Announcements: Koza.; Using Data Structures within GP: Langdon; From Competence to Efficiency and Beyond: Lessons from GAs, Lessons for GP: Goldberg
Introduction to Genetic Programming (tutorial) Excellent Overview given by John Koza of Stanford University
Introduction: Koza; Leaf Selection: Angeline; Benchmarking the Generalization Capabilities of A Compiling GP System: Francone, Nordin, and Banzhaf; GP using Genotype-Phenotype Mappings: Keller and Banzhaf; GP Reflection of Chaos and the Bootstrap: Oakley
Learning Recursive Functions from Noisy Examples, Wong and Leung. Dynamics of GP and Chaotic Time Series Prediction, Mulloy, Riolo, and Savit. Waveform, Fernandez, Farry, and
Machine Language Genetic Programming (tutorial) University of Dortmund, Germany
Machine Learning (tutorial) Stanford University
Molecular Biology for Computer Scientists (tutorial) Stanford University
Neural Networks (tutorial) Stanford University
On Sensor Evolution in Robotics: Balakrishnan and Honavar; Testing Software using Order-Based Genetic Algorithms: Boden and Martino; A Genetic Algorithm for the Construction of Small and Highly Testable OKFDD Circuits: Drechsler, Becker, and Gockel
Robustness of Robot Programs: Ito, Iba, and Kimura;Toward Simulated Evolution: Huelsbergen. A New Class of Function Sets: Handley. The Evolution of Memory and Mental, Brave
Search Bias: Whigham; Inferential Estimation Algorithms: McKay, Willis, Montague, and Barton; Evolving Teamwork and Coordination: Luke and Spector; Automatic Creation of an Efficient Multi-Agent Architecture: Bennett
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