GP-97: List of Accepted Papers

List of 84 Papers for Second Annual Genetic Programming 
Conference (GP-97), July 13-16, 1997, Stanford University

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GENETIC PROGRAMMING


Ahluwalia, Manu, Larry Bell, and Terence C. Fogarty
Co-evolving Functions in Genetic Programming: A Comparison 
in ADF Selection Strategies


Angeline, Peter J.
Subtree Crossover: Building Block Engine or Macromutation?


Ashlock, Dan
GP-Automata for Dividing the Dollar


Ashlock, Dan, and Charles Richter
The Effect of Splitting Populations on Bidding Strategies


Banzhaf, Wolfgang, Peter Nordin, and Markus Olmer
Generating Adaptive Behavior for a Real Robot using Function 
Regression within Genetic Programming


Bennett III, Forrest H
A Multi-Skilled Robot that Recognizes and Responds to 
Different Problem Environments


Bruce, Wilker Shane
The Lawnmower Problem Revisited: Stack-Based Genetic 
Programming and Automatically Defined Functions


Chen, Shu-Heng, and Chia-Hsuan Yeh
Using Genetic Programming to Model Volatility in Financial 
Time Series


Daida, Jason, Steven Ross, Jeffrey McClain, Derrick Ampy, and 
Michael Holczer
Challenges with Verification, Repeatability, and Meaningful 
Comparisons in Genetic Programming


Dain, Robert A.
Genetic Programming For Mobile Robot Wall-Following 
Algorithms 


Deakin, Anthony G., and Derek F. Yates
Economical Solutions with Genetic Programming: the Non-
Hamstrung Squadcar Problem, FvM and EHP


Dracopoulos, Dimitris C.
Evolutionary Control of a Satellite


Droste, Stefan
Efficient Genetic Programming for Finding Good Generalizing 
Boolean Functions


Eberbach, Eugene
Enhancing Genetic Programming by $-calculus


Esparcia-Alcazar, Anna J., and Ken Sharman
Evolving Recurrent Neural Network Architectures by Genetic 
Programming


Fernandez, Thomas, and Matthew Evett
Training Period Size and Evolved Trading Systems


Freitas, Alex A.
A Genetic Programming Framework for Two Data Mining 
Tasks: Classification and Generalized Rule Induction


Fuchs, Matthias, Dirk Fuchs, and Marc Fuchs
Solving Problems of Combinatory Logic with Genetic 
Programming


Gathercole, Chris, and Peter Ross
Small Populations over Many Generations can beat Large 
Populations over Few Generations in Genetic Programming


Gathercole, Chris, and Peter Ross
Tackling the Boolean Even N Parity Problem with Genetic 
Programming and Limited-Error Fitness 


Geyer-Schulz, Andreas
The Next 700 Programming Languages for Genetic 
Programming


Gray, H. F., and R. J. Maxwell
Genetic Programming for Multi-class Classification of Magnetic 
Resonance Spectroscopy Data


Greeff, D. J., and C. Aldrich
Evolution of Empirical Models for Metallurgical Process 
Systems


Gritz, Larry, and James K. Hahn
Genetic Programming Evolution of Controllers for 3-D 
Character Animation


Harries, Kim, and Peter Smith
Exploring Alternative Operators and Search Strategies in 
Genetic Programming


Haynes, Thomas
On-line Adaptation of Search via Knowledge Reuse


Haynes, Thomas, and Sandip Sen
Crossover Operators for Evolving A Team


Hiden, Hugo, Mark Willis, Ben McKay, and Gary Montague
Non-Linear And Direction Dependent Dynamic Modelling 
Using Genetic Programming


Hooper, Dale C., Nicholas S. Flann, and Stephanie R. Fuller
Recombinative Hill-Climbing: A Stronger Search Method for 
Genetic Programming


Howley, Brian
Genetic Programming and Parametric Sensitivity: a Case Study 
In Dynamic Control of a Two Link Manipulator


Huelsbergen, Lorenz
Learning Recursive Sequences via Evolution of Machine-
Language Programs


Iba, Hitoshi
Multiple-Agent Learning for a Robot Navigation Task by 
Genetic Programming 


Jaske, Harri
On code reuse in genetic programming


Koza, John R., Forest H. Bennett III, Martin A. Keane, 
and David Andre
Evolution of a Time-Optimal Fly-To Controller Circuit using 
Genetic Programming


Koza, John R., Forest Bennett III, Jason Lohn, Frank Dunlap, 
Martin A. Keane, and David Andre 
Use of Architecture-Altering Operations to Dynamically Adapt a 
Three-Way Analog Source Identification Circuit to 
Accommodate a New Source


Langdon, W. B., and R. Poli
An Analysis of the MAX Problem in Genetic Programming


Lensberg, Terje
A Genetic Programming Experiment on Investment Behavior 
under Knightian Uncertainty


Luke, Sean, and Lee Spector
A Comparison of Crossover and Mutation in Genetic 
Programming


Moore, Frank W., and Dr. Oscar N. Garcia
A Genetic Programming Approach to Strategy Optimization in 
the Extended Two-Dimensional Pursuer/Evader Problem


Nordin, Peter, and Wolfgang Banzhaf
Genetic Reasoning Evolving Proofs with Genetic Search


Park, YoungJa, and ManSuk Song
Genetic Programming Approach to Sense Clustering in Natural 
Language Processing


Paterson, Norman, and Mike Livesey
Evolving caching algorithms in C by genetic programming


Pelikan, Martin, Vladimir Kvasnicka, and Jiri Pospichal
Read's linear codes and genetic programming


Poli, Riccardo, and Stefano Cagnoni
Genetic Programming with User-Driven Selection: Experiments 
on the Evolution of Algorithms for Image Enhancement


Poli, R., and W. B. Langdon
A New Schema Theory for Genetic Programming with One-
point Crossover and Point Mutation


Rosca, Justinian P.
Analysis of Complexity Drift in Genetic Programming


Ryan, Conor, and Paul Walsh
The Evolution of Provable Parallel Programs


Segovia, Javier, and Pedro Isasi
Genetic Programming For Designing Ad Hoc Neural Network 
Learning Rules


Sherrah, Jamie R., Robert E. Bogner, and Abdesselam 
Bouzerdoum
The Evolutionary Pre-Processor: Automatic Feature Extraction 
for Supervised Classification using Genetic Programming


Soule, Terence, and James A. Foster
Code Size and Depth Flows in Genetic Programming


Teller, Astro, and David Andre
Automatically Choosing the Number of Fitness Cases: The 
Rational Allocation of Trials


Watson, Andrew H., and Ian C. Parmee
Steady State Genetic Programming With Constrained 
Complexity Crossover


Winkeler, Jay F., and B. S. Manjunath
Genetic Programming for Object Detection


Zhang, Byoung-Tak, and Je-Gun Joung
Enhancing Robustness of Genetic Programming at the Species 
Level


Zhao, Kai and Jue Wang
"Chromosone-Protein'': A Representation Scheme

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GENETIC ALGORITHMS


Bull, Larry, and Owen Holland
Evolutionary Computing in Multi-Agent Environments: 
Eusociality


Cantu-Paz, Erick, an David E. Goldberg
Modeling Idealized Bounding Cases of Parallel Genetic 
Algorithms


Dill, Karen M., and Marek A. Perkowski
Minimization of GRM Forms with a Genetic Algorithm


Gockel, Nicole, Martin Keim, Rolf Drechsler, and Bernd Becker
A Genetic Algorithm for Sequential Circuit Test Generation 
based on Symbolic Fault Simulation


Kargupta, Hillol, David E. Goldberg, and Liwei Wang
Extending The Class of Order-k Delineable Problems For The 
Gene Expression Messy Genetic Algorithm


Lathrop, James I.
Compression Depth and Genetic Programs


Mullen, David S., and Ralph M. Butler
Genetic Algorithms In Optimization of Adjacency Constrained 
Timber Harvest Scheduling Problems


Yang, Jihoon, and Vasant Honavar
Feature Subset Selection Using A Genetic Algorithm

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ARTIFICIAL LIFE AND EVOLUTIONARY ROBOTICS


Balakrishnan, Karthik, and Vasant Honavar
Spatial Learning for Robot Localization


Floreano, Dario, and Stefano Nolfi
God Save the Red Queen! Competition in Co-Evolutionary 
Robotics


Hasegawa, Yasuhisa and Toshio Fukuda
Motion Generation of Two-link Brachiation Robot


Maeshiro, Tetsuya, and Masayuki Kimura
Genetic Code as an Evolving Organism


Ray, Thomas S.
Selecting Naturally for Differentiation

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EVOLUTIONARY PROGRAMMING AND 
EVOLUTIONARY STRATEGIES


Angeline, Peter J.
An Alternative to Indexed Memory for Evolving Programs with 
Explicit State Representations


Chellapilla, Kumar
Evolutionary Programming with Tree Mutations: Evolving 
Computer Programs without Crossover


Greenwood, Garrison W.
Experimental Observation of Chaos in Evolution Strategies


Longshaw, Tom
Evolutionary learning of large Grammars

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DNA COMPUTING


Arita, Masanori, Akira Suyama, and Masami Hagiya
A Heuristic Approach for Hamiltonian Path Problem with 
Molecules


Deaton, R, M. Garzon, R. C. Murphy, D. R. Francschetti, 
J. A. Rose, and S. E. Stevens Jr.
Information Transfer through Hybridization Reactions in DNA 
based Computing


Garzon, M., P. Neathery, R. Deaton, R. C. Murphy, D. R. 
Franschetti, S. E. Stevens Jr.
A New Metric for DNA Computing


Rose, J. A., Y. Gao, M. Garzon, and R. C. Murphy
DNA Implementation of Finite-State Machines

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EVOLVABLE HARDWARE


Dreschler, Rolf, Nicole Gockel, Elke Mackensen, and 
Bernd Becker
BEA: Specialized Hardware for Implementation of Evolutionary 
Algorithms


Kazimierczak, Jan
An Approach to Evolvable Hardware representing the 
Knowledge 
Base in an Automatic Programming System


Michael Korkin, Hugo de Garis, Felix Gers, and Hitoshi Hemmi
``CBM (CAM-Brain Machine)'': A Hardware Tool which 
Evolves a Neural Net Module in a Fraction of a Second and 
Runs a Million Neuron Artificial Brain in Real Time


Liu, Weixin, Masahiro Murakawa, and Tetsuya Higuchi
Evolvable Hardware for On-line Adaptive Traffic Control in 
ATM Networks


Sipper, Moshe, Eduardo Sanchez, Daniel Mange, Marco 
Tomassini, Andres Perez-Uribe, and Andre Stauffer
The POE Model of Bio-Inspired Hardware Systems: A Short 
Introduction

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CLASSIFIER SYSTEMS


Nagasaka, Ichiro, and Toshiharu Taura
Geometic Representation for Shape Generation using Classifier 
System


Spohn, Bryan G., and Philip H. Crowley
Complexity of Strategies and the Evolution of Cooperation


Westerdale, T. H.
Classifier Systems--No Wonder They Don't Work

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CITATION FOR GP-97 PROCEEDINGS:

Koza, John R., Deb, Kalyanmoy, Dorigo, Marco, Fogel, David 
B., Garzon, Max, Iba, Hitoshi, and Riolo, Rick L. (editors).  
1997. Genetic Programming 1997: Proceedings of the 
Second Annual Conference, July 13Ð16, 1997, Stanford 
University.  San Francisco, CA: Morgan Kaufmann.