Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming John R. Koza Computer Science Department Stanford University Stanford, CAUSA

Source URL: www.genetic-programming.com

Automatic Creation of both the Topology and Parameters for a Robust Controller by Means of Genetic Programming John R. Koza Martin A. Keane

Source URL: www.genetic-programming.com

Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program John R. Koza Stanford University Computer Science Department Stanford, Californi

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Version 2 - June 25, 1996 for Handbook of Evolutionary Computation. Classifying Protein Segments as Transmembrane Domains Using Genetic Programming and Architecture-Altering Operations John R. Koza Computer Science Depa

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REVERSE ENGINEERING OF METABOLIC PATHWAYS FROM OBSERVED DATA USING GENETIC PROGRAMMING John R. Koza Biomedical Informatics, Department of Medicine Department of Electrical Engineering

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Inventions E By John R. Koza, Martin A. Keane and Matthew J. Streeter volution is an immensely powerful including several that were hailed as seminal in

Source URL: www.eecs.harvard.edu

• Genetic algorithms
• Evolutionary algorithms
• Biology
• Mathematical optimization
• Evolution
• Science and technology in the United States
• Applied mathematics
• John Koza
• Genetic programming
• Otto Julius Zobel
• Synthesizer
• Fitness function

Evolving Programs for Distributed Multi-Agent Configuration in Two Dimensions Rob P. DeConde Stanford Biomedical Informatics Program Stanford University 344 Olmsted Road, Apt. 431

Source URL: www.genetic-programming.org

• Mathematics
• Genetic programming
• Algorithm
• John Koza
• Mathematical sciences
• Operations research
• Mathematical optimization
• Applied mathematics

Genetic Programming: Biologically Inspired Computation that Creatively Solves Non-Trivial Problems John R. Koza, Forrest H. Bennett III, David Andre, and Martin A. Keane Abstract. This paper describes a biologically ins

Source URL: www.kachergis.com

• Science
• Cybernetics
• Genetic programming
• Operations research
• John Koza
• Mathematics
• Digital electronics
• Computer
• Crossover
• Mathematical optimization
• Genetic algorithms
• Applied mathematics

GENETIC GENERATION OF BOTH THE WEIGHTS AND ARCHITECTURE FOR A NEURAL NETWORK John R. Koza Computer Science Department Stanford University

Source URL: www.genetic-programming.com

• Mathematical optimization
• Cybernetics
• Mathematics
• Computational neuroscience
• Econometrics
• Recurrent neural network
• Genetic algorithm
• Genetic programming
• Algorithm
• Neural networks
• Applied mathematics
• Science

USE OF GENETIC PROGRAMMING TO FIND AN IMPULSE RESPONSE FUNCTION IN SYMBOLIC FORM( *) John R. Koza (1), Martin A. Keane (2) and James P. Rice (3) Abstract: The recently developed genetic programming paradigm provides a wa

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• Mathematical analysis
• Signal processing
• Cybernetics
• Mathematical optimization
• Genetic algorithms
• Genetic programming
• John Koza
• LTI system theory
• Impulse response
• Mathematics
• Applied mathematics
• Control theory