| | Preface |
| | Chairs and Committees |
| | Long Genetic Programming Papers |
| 1 | | Discovery by Genetic Programming of a Cellular Automata
Rule that Is Better than any Known Rule for the Majority
Classification Problem
by David Andre, Forrest H Bennett III and John R. Koza |
| 2 | | A Study in Program Response and the Negative Effects of
Introns in Genetic Programming
by David Andre and Astro Teller |
| 3 | | An Investigation into the Sensitivity of Genetic
Programming to the Frequency of Leaf Selection during Subtree
Crossover
by Peter J. Angeline |
| 4 | | Automatic Creation of an Efficient Multi-Agent Architecture
Using Genetic Programming with Architecture-Altering
Operations
by Forrest H Bennett III |
| 5 | | Evolving Deterministic Finite Automata Using Cellular
Encoding
by Scott Brave |
| 6 | | Genetic Programming and the Efficient Market
Hypothesis
by Shu-Heng Chen and Chia-Hsuan Yeh |
| 7 | | Bargaining by Artificial Agents in Two Coalition Games: A
Study in Genetic Programming for Electronic Commerce
by Garett Dworman, Steven O. Kinbrough and James D. Laing |
| 8 | | Waveform Recognition Using Genetic Programmnig: The
Myoelectric Signal Recognition Problem
by Jaime J. Fernandez, Kristin A. Farry and John B. Cheatham |
| 9 | | Benchmarking the Generalization Capabilities of a Compiling
Genetic Programming System Using Sparse Data Sets
by Frank D. Francone, Peter Nordin and Wolfgang Banzhaf |
| 10 | | A Comparison between Cellular Encoding and Direct Encoding
for Genetic Neural Networks
by Frédéric Gruau, Darrell Whitley and Larry
Pyeatt |
| 11 | | Entailment for Specification Refinement
by Thomas Haynes, Rose Gamble, Leslie Knight and Roger
Wainwright |
| 12 | | Genetic Programming of Near-Minimum-Time Spacecraft
Attitude Maneuvers
by Brian Howley |
| 13 | | Evolving Evolution Programs: Genetic Programming and
L-Systems
by Christian Jacob |
| 14 | | Genetic Programming Using Genotype-Phenotype Mapping from
Linear Genomes into Linear Phenotypes
by Robert E. Keller and Wolfgang Banzhaf |
| 15 | | Automated WYWIWYG Design of Both the Topology and Component
Values of Electrical Circuits Using Genetic Programming
by John R. Koza, Forrest H Bennett III, David Andre and
Martin A. Keane |
| 16 | | Use of Automatically Defined Functions and
Architecture-Altering Operations in Automated Circuit Synthesis
with Genetic Programming
by John R. Koza, David Andre, Forrest H Bennett III and
Martin A. Keane |
| 17 | | Using Data Structures within Genetic Programming
by W. B. Langdon |
| 18 | | Evolving Teamwork and Coordination with Genetic
Programming
by Sean Luke and Lee Spector |
| 19 | | Using Genetic Programming to Develop Inferential Estimation
Algorithms
by Ben McKay, Mark Willis, Gary Montague and Geoffrey
W. Barton |
| 20 | | Dynamics of Genetic Programming and Chaotic Time Series
Prediction
by Brian S. Mulloy, Rick L. Riolo and Robert S. Savit |
| 21 | | Genetic Programming, the Reflection of Chaos, and the
Bootstrap: Towards a Useful Test for Chaos
by E. Howard N. Oakley |
| 22 | | Solving Facility Layout Problems Using Genetic
Programming
by Jaime Garces-Perez, Dale A. Schoenefeld and Roger
L. Wainwright |
| 23 | | Variations in Evolution of Subsumption Architectures Using
Genetic Programming: The Wall Following Robot Revisited
by Steven J. Ross, Jason M. Daida, Chau M. Doan, Tommaso
F. Bersano-Begey and Jeffrey J. McClain |
| 24 | | MASSON: Discovering Commonalities in Collection of Objects
Using Genetic Programming
by Tae-Wan Ryu and Christoph F. Eick |
| 25 | | Cultural Transmission of Information in Genetic
Programming
by Lee Spector and Sean Luke |
| 26 | | Code Growth in Genetic Programming
by Terrence Soule, James A. Foster and John Dickinson |
| 27 | | High-Performance, Parallel, Stack-Based Genetic
Programming
by Kilian Stoffel and Lee Spector |
| 28 | | Search Bias, Language Bias, and Genetic Programming
by P. A. Whigham |
| 29 | | Learning Recursive Functions from Noisy Examples Using
Generic Genetic Programming
by Man Leung Wong and Kwong Sak Leung |
| | Short Genetic Programming Papers |
| 30 | | Classification Using Cultural Co-Evolution and Genetic
Programming
by Myriam Z. Abramson and Lawrence Hunter |
| 31 | | Type-Constrained Genetic Programming for Rule-Base
Definition in Fuzzy Logic Controllers
by Enrique Alba, Carlos Cotta and José M. Troya |
| 32 | | The Evolution of Memory and Mental Models Using Genetic
Programming
by Scott Brave |
| 33 | | Automatic Generation of Object-Oriented Programs Using
Genetic Programming
by Wilker Shane Bruce |
| 34 | | Evolving Event-Driven Programs
by Mark Crosbie and Eugene H. Spafford |
| 35 | | Computer-Assisted Design of Image Classification
Algorithms: Dynamic and Static Fitness Evaluations in a Scaffolded
Genetic Programming Environment
by Jason M. Daida, Tommaso F. Bersano-Begey, Steven J. Ross
and John F. Vesecky |
| 36 | | Improved Direct Acyclic Graph Evaluation and the Combine
Operator in Genetic Programming
by Herman Ehrenburg |
| 37 | | An Adverse Interaction between Crossover and Restricted
Tree Depth in Genetic Programming
by Chris Gathercole and Peter Ross |
| 38 | | The Prediction of the Degree of Exposure to Solvent of
Amino Acid Residues via Genetic Programming
by Simon Handley |
| 39 | | A New Class of Function Sets for Solving Sequence
Problems
by Simon Handley |
| 40 | | Evolving Edge Detectors with Genetic Programming
by Christopher Harris and Bernard Buxton |
| 41 | | Toward Simulated Evolution of Machine Language
Interaction
by Lorenz Huelsbergen |
| 42 | | Robustness of Robot Programs Generated by Genetic
Programming
by Takuya Ito, Hitoshi Iba and Masayuki Kimura |
| 43 | | Signal Path Oriented Approach for Generation of Dynamic
Process Models
by Peter Marenbach, Kurt D. Bettenhausen and Stephan Freyer |
| 44 | | Evolving Control Laws for a Network of Traffic
Signals
by David J. Montana and Steven Czerwinski |
| 45 | | Distributed Genetic Programming: Empirical Study and
Analysis
by Tatsuya Niwa and Hitoshi Iba |
| 46 | | Programmatic Compression of Images and Sound
by Peter Nordin and Wolfgang Banzhaf |
| 47 | | Investigating the Generality of Automatically Defined
Functions
by Una-May O'Reilly |
| 48 | | Parallel Genetic Programming: An Application to Trading
Models Evolution
by Mouloud Oussaidène, Bastien Chopard, Olivier
V. Pictet and Marco Tommassini |
| 49 | | Genetic Programming for Image Analysis
by Riccardo Poli |
| 50 | | Evolving Agents
by Adil Qureshi |
| 51 | | Genetic Programming for Improved Data Mining: An
Application to the Biochemistry of Protein Interactions
by M. I. Raymer, W. F. Punch, E. D. Goodman and L. A. Kuhn |
| 52 | | Generality versus Size in Genetic Programming
by Justinian P. Rosca |
| 53 | | Genetic Programming in Database Query Optimization
by Michael Stillger and Myra Spiliopoulou |
| 54 | | Ontogenetic Programming
by Lee Spector and Kilian Stoffel |
| 55 | | Using Genetic Programming to Approximate Maximum
Clique
by Terence Soule, James A. Foster and John Dickinson |
| 56 | | Paragen: A Novel Technique for the Autoparallelisation of
Sequential Programs using Genetic Programming
by Paul Walsh and Conor Ryan |
| 57 | | The Benefits of Computing with Introns
by Mark Wineberg and Franz Oppacher |
| | Genetic Programming Poster Papers |
| 58 | | Co-Evolving Hierarchical Programs Using Genetic
Programming
by Manu Ahluwalia and Terence C. Fogarty |
| 59 | | GP Tools Available on the Web: A First
Encounter
by Anthony G. Deakin and Derek F. Yates |
| 60 | | Speeding up Genetic Programming: A Parallel BSP
Implementation
by Dimitris C. Dracopoulos and Simon Kent |
| 61 | | Easy Inverse Kinematics Using Genetic Programming
by Jonathan Gibbs |
| 62 | | Noisy Wall Following and Maze Navigation through Genetic
Programming
by Andrew Goldish |
| 63 | | Genetic Programming Classification of Magnetic Resonance
Data
by H. F. Gray, R. J. Maxwell, I. Martínez-Perez,
C. Arús and S. Cerdá |
| 64 | | GP-COM: A Distributed Component-Based Genetic Programming
System in C++
by Christopher Harris and Bernard Buxton |
| 65 | | Clique Detection via Genetic Programming
by Thomas Haynes and Dale Schoenefeld |
| 66 | | Functional Languages on Linear Chromosomes
by Paul Holmes and Peter J. Barclay |
| 67 | | Improving the Accuracy and Robustness of Genetic
Programming through Expression Simplification
by Dale C. Hooper and Nicholas S. Flann |
| 68 | | COAST: An Approach to Robustness and Reusability in Genetic
Programming
by Naohiro Hondo, Hitoshi Iba and Yukinori Kakazu |
| 69 | | Recurrences with Fixed Base Cases in Genetic
Programming
by Stefan J. Johansson |
| 70 | | Evolutionary and Incremental Methods to Solve Hard Learning
Problems
by Ibrahim Kuscu |
| 71 | | Detection of Patterns in Radiographs using ANN Designed and
Trained with the Genetic Algorithm
by Alejandro Pazos, Julian Dorado and Antonino Santos |
| 72 | | The Logic-Grammars-Based Genetic Programming System
by Man Leung Wong and Kwong Sak Leung |
| | Long Genetic Algorithms Papers |
| 73 | | Genetic Algorithms with Analytical Solution
by Erol Gelenbe |
| 74 | | Silicon Evolution
by Adrian Thompson |
| | Short Genetic Algorithms Papers |
| 75 | | On Sensor Evolution in Robotics
by Karthik Balakrishnan and Vasant Honavar |
| 76 | | Testing Software Using Order-Based Genetic
Algorithms
by Edward B. Boden and Gilford F. Martino |
| 77 | | Optmizing Local Area Networks Using Genetic
Algorithms
by Andy Choi |
| 78 | | A Genetic Algorithm for the Construction of Small and
Highly Testable OKFDD Circuits
by Rolf Dreschler, Bernd Becker and Nicole Göckel |
| 79 | | Motion Planning and Design of CAM Mechanisms by Means of a
Genetic Algorithm
by Rodolfo Faglia and David Vetturi |
| 80 | | Evolving Strategies Based on the Nearest-Neighbor Rule and
a Genetic Algorithm
by Matthias Fuchs |
| 81 | | Recognition and Reconstruction of Visibility Graphs Using a
Genetic Algorithm
by Marshall S. Veach |
| | Genetic Algorithms Poster Papers |
| 82 | | The Use of Genetic Algorithms in the Optimization of
Competitive Neural Networks which Resolve the Stuck Vectors
Problem
by Tin Ilakovac, Zeljka Perkovic and Strahil Ristov |
| 83 | | An Extraction Method of a Car License Plate Using a
Distributed Genetic Algorithm
by Dae Wook Kim, Sang Kyoon Kim and Hange Joon Kim |
| | Evolutionary Programming and Evolution Strategies Papers |
| 84 | | Evolving Fractal Movies
by Peter J. Angeline |
| 85 | | Preliminary Experiments on Discriminating between Chaotic
Signals and Noise Using Evolutionay Programming
by David B. Fogel and Lawrence J. Fogel |
| 86 | | Discovering Patterns in Spatial Data Using Evolutionary
Programming
by Adam Ghozeil and David. B. Fogel |
| 87 | | Evolved Reduced Parameter Bilinear Models for Time Series
Prediction Using Fast Evolutionary Programming
by Sathyanarayan S. Rao and Kumar Chellapilla |
| | Classifier Systems Papers |
| 88 | | Three-Dimensional Shape Optimization Utilizing a Learning
Classifier System
by Robert A. Richards and Sheri D. Sheppard |
| 89 | | Classifier System Renaissance: New Analogies, New
Directions
by H. Brown Cribbs, III and Robert E. Smith |
| 90 | | Natural Niching for Evolving Cooperative
Classifiers
by Jeffrey Horn and David E. Goldberg |
| | Author Index |
| | Subject Index |
