GP-96 Registration and Papers
John R. Koza
koza at CS.Stanford.EDU
Sat May 4 11:20:07 EDT 1996
CALL FOR PARTICIPATION, LIST OF TUTORIALS,
LIST OF PAPERS, LIST OF PROGRAM COMMITTEES,
AND REGISTRATION FORM (Largest discount
availabe until May 15)
Genetic Programming 1996 Conference (GP-96)
July 28 - 31 (Sunday - Wednesday), 1996
Fairchild Auditorium and other campus locations
Stanford University
Stanford, California
Proceedings will be published by The MIT Press
In cooperation with
-the Association for Computing Machinery (ACM),
- SIGART
- IEEE Neural Network Council,
- American Association for Artificial Intelligence.
Genetic programming is an automatic programming
technique for evolving computer programs that solve (or
approximately solve) problems. Starting with a
primordial ooze of thousands of randomly created
computer programs composed of programmatic ingredients
appropriate to the problem, a population of computers
programs is progressively evolved over many generations
using the Darwinian principle of survival of the
fittest, a sexual recombination operation, and
occasional mutation. Since 1992, over 500 technical
papers have been published in this rapidly growing
field.
This first genetic programming conference will feature
75 papers and 27 poster papers, 12 tutorials, 2 invited
speakers, a session featuring late-breaking papers, and
informal birds-of-a-feather meetings.
Topics include, but are not limited to, applications of
genetic programming, theoretical foundations of genetic
programming, implementation issues and technique
extensions, use of memory and state, cellular encoding
(developmental genetic programming), evolvable hardware,
evolvable machine language programs, automated evolution
of program architecture, evolution and use of mental
models, automatic programming of multi-agent strategies,
distributed artificial intelligence, automated circuit
synthesis, automatic programming of cellular automata,
induction, system identification, control, automated
design, compression, image analysis, pattern
recognition, molecular biology applications, grammar
induction, and parallelization.
-------------------------------------------------
HONORARY CHAIR: John Holland, University of
Michigan
INVITED SPEAKERS: John Holland, University of
Michigan and David E. Goldberg, University of Illinois
GENERAL CHAIR: John Koza, Stanford University
PUBLICITY CHAIR: Patrick Tufts, Brandeis University
-------------------------------------------------
TUTORIALS
-Sunday July 28 9:15 AM - 11:30 AM
- Genetic Algorithms - David E. Goldberg, University of
Illinois
- Machine Language Genetic Programming - Peter Nordin,
University of Dortmund, Germany
- Genetic Programming using Mathematica P Robert
Nachbar P Merck Research Laboratories
- Introduction to Genetic Programming - John Koza,
Stanford University
-------------------------------------------------
Sunday July 28 1:00 PM - 3: 15 PM
- Classifier Systems- Robert Elliott Smith, University
of
Alabama
- Evolutionary Computation for Constraint Optimization -
Zbigniew Michalewicz, University of North Carolina
- Advanced Genetic Programming - John Koza, Stanford
University
-------------------------------------------------
Sunday July 28 3:45 PM - 6 PM
- Evolutionary Programming and Evolution Strategies -
David Fogel, University of California, San Diego
- Cellular Encoding P Frederic Gruau, Stanford
University
(via videotape) and David Andre, Stanford University (in
person)
- Genetic Programming with Linear Genomes (one hour) -
Wolfgang Banzhaf, University of Dortmund, Germany
-JECHO - Terry Jones, Santa Fe Institute
-------------------------------------------------
Tuesday July 30 - 3 PM - 5:15PM
- Neural Networks - David E. Rumelhart, Stanford
University
- Machine Learning - Pat Langley, Stanford University
-JMolecular Biology for Computer Scientists - Russ B.
Altman, Stanford University
-------------------------------------------------
Additional tutorial P Time to be Announced
% Evolvable Hardware - Hugo De Garis,ATR, Nara, Japan
and Adrian Thompson, University of Sussex, U.K.
-------------------------------------------------
FOR MORE INFORMATION
ABOUT THE GP-96 CONFERENCE: See the GP-96 home page on
the World Wide Web:
http://www.cs.brandeis.edu/~zippy/gp-96.html or contact
GP-96 at via e-mail at gp at aaai.org. PHONE: 415-328-
3123. FAX: 415-321-4457. Conference operated by
Genetic Programming Conferences, Inc. (a California not-
for-profit corporation).
ABOUT GENETIC PROGRAMMING IN GENERAL: http://www-cs-
faculty.stanford.edu/~koza/.
FOR GP-96 TRAVEL INFORMATION: See the GP-96 home page
on the World Wide Web:
http://www.cs.brandeis.edu/~zippy/gp-96.html. For
further information regarding special GP-96 airline and
car rental rates, please contact Conventions in America
at e-mail flycia at balboa.com; or phone 1-800-929-4242; or
phone 619-678-3600; or FAX 619-678-3699.
FOR HOTEL AND UNIVERSITY HOUSING INFORMATION: See the
GP-96 home page on the World Wide Web:
http://www.cs.brandeis.edu/~zippy/gp-96.html or via e-
mail at gp at aaai.org.
FOR STUDENT TRAVEL GRANTS: See the GP-96 home page on
the World Wide Web:
http://www.cs.brandeis.edu/~zippy/gp-96.html.
ABOUT THE SAN FRANCISCO BAY AREA AND SILICON VALLEY
SIGHTS: Try the Stanford University home page at
http://www.stanford.edu/, the Hyperion Guide at
http://www.hyperion.com/ba/sfbay.html; the Palo Alto
weekly at http://www.service.com/PAW/home.html; the
California Virtual Tourist at
http://www.research.digital.com/SRC/virtual-
tourist/California.html; and the Yahoo Guide of San
Francisco at
http://www.yahoo.com/Regional_Information/States/Califor
nia/San_Francisco.
ABOUT OTHER CONTEMPORANEOUS WEST COAST CONFERENCES:
Information about the AAAI-96 conference on August 4 P 8
(Sunday P Thursday), 1996, in Portland, Oregon is at
http://www.aaai.org/. Information on the International
Conference on Knowledge Discovery and Data Mining (KDD-
96) in Portland on August 3 P 5, 1996 is at http://www-
aig.jpl.nasa.gov/kdd96. Information about the Protein
Society conference on August 3 P 7, 1996 in San Jose is
at http://www.faseb.org. Information about the
Foundations of Genetic Algorithms (FOGA) workshop on
August 3 P 5 (Saturday P Monday), 1996, in San Diego is
at http://www.aic.nrl.navy.mil/galist/foga/.
Information about the Parallel and Distributed
Processing Techniques and Applications (PDPTA-96)
conference on August 6 P 9 (Friday P Sunday), 1996 in
Sunnyvale, California is at
http://www.ece.neu.edu/pdpta96.html.
ABOUT MEMBERSHIP IN THE ACM, AAAI, or IEEE: For
information about ACM membership, try
http://www.acm.org/; for information about SIGART, try
http://sigart.acm.org/; for AAAI membership, go to
http://www.aaai.org/; and for membership in the IEEE, go
to http://www.ieee.org.
PHYSICAL MAIL ADDRESS FOR GP-96: GP-96 Conference, c/o
American Association for Artificial Intelligence, 445
Burgess Drive, Menlo Park, CA 94025. PHONE: 415-328-
3123. FAX: 415-321-4457. WWW: http://www.aaai.org/.
E-MAIL: gp at aaai.org.
------------------------------------------------
REGISTRATION FORM FOR GENETIC
PROGRAMMING 1996 CONFERENCE TO BE HELD
ON JULY 28 P 31, 1996 AT STANFORD UNIVERSITY
First Name _________________________
Last Name_______________
Affiliation________________________________
Address__________________________________
________________________________________
City__________________________
State/Province _________________
Zip/Postal Code____________________
Country__________________
Daytime telephone__________________________
E-Mail address_____________________________
Conference registration fee includes copy of
proceedings, attendance at 4 tutorials of your choice,
syllabus books for the tutorials, conference reception,
copy of a book of late-breaking papers, a T-shirt,
coffee breaks, lunch (on at least Sunday), and admission
to conference sessions. Students must send legible
proof of full-time student status.
Conference proceedings will be mailed to registered
attendees with U.S. mailing addresses via 2-day U.S.
priority mail about 1 P 2 weeks prior to the conference
at no extra charge (at addressee's risk). If you are
uncertain as to whether you will be at that address at
that time or DO NOT WANT YOUR PROCEEDINGS MAILED to you
at the above address for any other reason, your copy of
the proceedings will be held for you at the conference
registration desk if you CHECK HERE ____.
Postmarked by May 15, 1996:
Student P ACM, IEEE, or AAAI Member $195
Regular P ACM, IEEE, or AAAI Member $395
Student P Non-member $215
Regular P Non-member $415
Postmarked by June 26, 1996:
Student P ACM, IEEE, or AAAI Member $245
Regular P ACM, IEEE, or AAAI Member $445
Student P Non-member $265
Regular P Non-member $465
Postmarked later or on-site:
Student P ACM, IEEE, or AAAI Member $295
Regular P ACM, IEEE, or AAAI Member $495
Student P Non-member $315
Regular P Non-member $515
Member number:
ACM # ___________
IEEE # _________
AAAI # _________
Total fee (enter appropriate amount) $ _________
__ Check or money order made payable to "AAAI"
(in U.S. funds)
__ Mastercard __ Visa __ American Express
Credit card number
__________________________________________
Expiration Date ___________
Signature _________________________
TUTORIALS: Check off a box for one tutorial from each
of the 4 columns:
Sunday July 28, 1996 P 9:15 AM - 11:30 AM
__ Genetic Algorithms
__ Machine Language GP
__ GP using Mathematica
__ Introductory GP
Sunday July 28, 1996 P 1:00 PM - 3: 15 PM
__ Classifier Systems
__ EC for Constraint Optimization
__ Advanced GP
Sunday July 28, 1996 P 3:45 PM - 6 PM
__ Evolutionary Programming and Evolution Strategies
__ Cellular Encoding
__ GP with Linear Genomes
__ ECHO
Tuesday July 30, 1996 P3:00 PM - 5:15PM
__ Neural Networks
__ Machine Learning
__ Molecular Biology for Computer Scientists
__ Check here for information about housing and meal
package at Stanford University.
__ Check here for information on student travel grants.
T-shirt size
___ small ___ medium ___ large ___ extra-large
No refunds will be made; however, we will transfer your
registration to a
person you designate upon notification.
SEND TO: GP-96 Conference, c/o American Association
for Artificial
Intelligence, 445 Burgess Drive, Menlo Park, CA 94025.
-------------------------------------------------
90 PAPERS APPEARING IN PROCEEDINGS OF
THE GP-96 CONFERENCE TO BE HELD AT
STANFORD UNIVERSITY ON JULY 28-31, 1996
--------------------------------------------------
LONG GENETIC PROGRAMMING PAPERS
Discovery by Genetic Programming of a Cellular
Automata Rule that is Better than any Known Rule
for the Majority Classification Problem --- David
Andre, Forrest H Bennett III, and John R. Koza
A Study in Program Response and the Negative
Effects of Introns in Genetic Programming ---
David Andre and Astro Teller
An Investigation into the Sensitivity of Genetic
Programming to the Frequency of Leaf Selection
During Subtree Crossover --- Peter J. Angeline
Automatic Creation of an Efficient Multi-Agent
Architecture Using Genetic Programming with
Architecture-Altering Operations --- Forrest H
Bennett III
Evolving Deterministic Finite Automata Using
Cellular Encoding --- Scott Brave
Genetic Programming and the Efficient Market
Hypothesis --- Shu-Heng Chen and Chia-Hsuan Yeh
Bargaining by Artificial Agents in Two Coalition
Games: A Study in Genetic Programming for
Electronic Commerce --- Garett Dworman, Steven O.
Kimbrough, and James D. Laing
Waveform Recognition Using Genetic Programming:
The Myoelectric Signal Recognition Problem ---
Jaime J. Fernandez, Kristin A. Farry, and John B.
Cheatham
Benchmarking the Generalization Capabilities of A
Compiling Genetic programming System using Sparse
Data Sets --- Frank D. Francone, Peter Nordin, and
Wolfgang Banzhaf
A Comparison between Cellular Encoding and Direct
Encoding for Genetic Neural Networks --- Frederic
Gruau, Darrell Whitley, and Larry Pyeatt
Entailment for Specification Refinement --- Thomas
Haynes, Rose Gamble, Leslie Knight, and Roger
Wainwright
Genetic Programming of Near-Minimum-Time
Spacecraft Attitude Maneuvers --- Brian Howley
Evolving Evolution Programs: Genetic Programming
and L-Systems --- Christian Jacob
Genetic Programming using Genotype-Phenotype
Mapping from Linear Genomes into Linear Phenotypes
--- Robert E. Keller and Wolfgang Banzhaf
Automated WYWIWYG Design of Both the Topology and
Component Values of Electrical Circuits Using
Genetic Programming --- John R. Koza, Forrest H
Bennett III, David Andre, and Martin A. Keane
Use of Automatically Defined Functions and
Architecture-Altering Operations in Automated
Circuit Synthesis Using Genetic Programming ---
John R. Koza, David Andre, Forrest H Bennett III,
and Martin A. Keane
Using Data Structures within Genetic Programming
--- W. B. Langdon
Evolving Teamwork and Coordination with Genetic
Programming --- Sean Luke and Lee Spector
Using Genetic Programming to Develop Inferential
Estimation Algorithms --- Ben McKay, Mark Willis,
Gary Montague, and Geoffrey W. Barton
Dynamics of Genetic Programming and Chaotic Time
Series Prediction --- Brian S. Mulloy, Rick L.
Riolo, and Robert S. Savit
Genetic Programming, the Reflection of Chaos, and
the Bootstrap: Towards a useful Test for Chaos ---
E. Howard N. Oakley
Solving Facility Layout Problems Using Genetic
Programming --- Jaime Garces-Perez, Dale A.
Schoenefeld, and Roger L. Wainwright
Variations in Evolution of Subsumption
Architectures Using Genetic Programming: The Wall
Following Robot Revisited --- Steven J. Ross,
Jason M. Daida, Chau M. Doan, Tommaso F. Bersano-
Begey, and Jeffrey J. McClain
MASSON: Discovering Commonalties in Collection of
Objects using Genetic Programming --- Tae-Wan Ryu
and Christoph F. Eick
Cultural Transmission of Information in Genetic
Programming --- Lee Spector and Sean Luke
Code Growth in Genetic Programming --- Terence
Soule, James A. Foster, and John Dickinson
High-Performance, Parallel, Stack-Based Genetic
Programming --- Kilian Stoffel and Lee Spector
Search Bias, Language Bias, and Genetic
Programming --- P. A. Whigham
Learning Recursive Functions from Noisy Examples
using Generic Genetic Programming --- Man Leung
Wong and Kwong Sak Leung
SHORT GENETIC PROGRAMMING PAPERS
Classification using Cultural Co-Evolution and
Genetic Programming --- Myriam Abramson and
Lawrence Hunter
Type-Constrained Genetic Programming for Rule-Base
Definition in Fuzzy Logic Controllers --- Enrique
Alba, Carlos Cotta, and Jose J. Troyo
The Evolution of Memory and Mental Models Using
Genetic Programming --- Scott Brave
Automatic Generation of Object-Oriented Programs
Using Genetic Programming --- Wilker Shane Bruce
Evolving Event Driven Programs --- Mark Crosbie
and Eugene H. Spafford
Computer-Assisted Design of Image Classification
Algorithms: Dynamic and Static Fitness Evaluations
in a Scaffolded Genetic Programming Environment ---
Jason M. Daida, Tommaso F. Bersano-Begey, Steven
J. Ross, and John F. Vesecky
Improved Direct Acyclic Graph Handling and the
Combine Operator in Genetic Programming --- Herman
Ehrenburg
An Adverse Interaction between Crossover and
Restricted Tree Depth in Genetic Programming ---
Chris Gathercole and Peter Ross
The Prediction of the Degree of Exposure to
Solvent of Amino Acid Residues via Genetic
Programming --- Simon Handle
y
A New Class of Function Sets for Solving Sequence
Problems --- Simon Handley
Evolving Edge Detectors with Genetic Programming
--- Christopher Harris and Bernard Buxton
Toward Simulated Evolution of Machine Language
Iteration --- Lorenz Huelsbergen
Robustness of Robot Programs Generated by Genetic
Programming --- Takuya Ito, Hitoshi Iba, and
Masayuki Kimura
Signal Path Oriented Approach for Generation of
Dynamic Process Models --- Peter Marenbach, Kurt
D. Betterhausen, and Stephan Freyer
Evolving Control Laws for a Network of Traffic
Signals --- David J. Montana and Steven Czerwinski
Distributed Genetic Programming: Empirical Study
and Analysis --- Tatsuya Niwa and Hitoshi Iba
Programmatic Compression of Images and Sound ---
Peter Nordin and Wolfgang Banzhaf
Investigating the Generality of Automatically
Defined Functions --- Una-May O'Reilly
Parallel Genetic Programming: An Application to
Trading Models Evolution --- Mouloud Oussaidene,
Bastien Chopard, Olivier V. Pictet, and Marco
Tomassini
Genetic Programming for Image Analysis ---
Riccardo Poli
Evolving Agents --- Adil Qureshi
Genetic Programming for Improved Data Mining: An
Application to the Biochemistry of Protein
Interactions --- M. L. Raymer, W. F. Punch, E. D.
Goodman, and L. A. Kuhn
Generality Versus Size in Genetic Programming ---
Justinian Rosca
Genetic Programming in Database Query Optimization
--- Michael Stillger and Myra Spiliopoulou
Ontogenetic Programming --- Lee Spector and Kilian
Stoffel
Using Genetic Programming to Approximate Maximum
Clique --- Terence Soule, James A. Foster, and
John Dickinson
Paragen: A Novel Technique for the
Autoparallelisation of Sequential Programs using
Genetic Programming --- Paul Walsh and Conor Ryan
The Benefits of Computing with Introns --- Mark
Wineberg and Franz Oppacher
GENETIC PROGRAMMING POSTER PAPERS
Co-Evolving Classification Programs using Genetic
Programming --- Manu Ahluwalia and Terence C.
Fogarty
Genetic Programming Tools Available on the Web: A
First Encounter --- Anthony G. Deakin and Derek F.
Yates
Speeding up Genetic Programming: A Parallel BSP
Implementation --- Dimitris C. Dracopoulos and
Simon Kent
Easy Inverse Kinematics using Genetic Programming
--- Jonathan Gibbs
Noisy Wall-Following and Maze Navigation through
Genetic Programming --- Andrew Goldfish
Genetic Programming for Classification of Brain
Tumours from Nuclear Magnetic Resonance Biopsy
Spectra --- H. F. Gray, R. J. Maxwell, I.
Martinez-Perez, C. Arus, and S. Cerdan
GP-COM: A Distributed Component-Based Genetic
Programming System in C++ --- Christopher Harris
and Bernard Buxton
Clique Detection via Genetic Programming ---
Thomas Haynes and Dale Schoenefeld
Functional Languages on Linear Chromosomes ---
Paul Holmes and Peter J. Barclay
Improving the Accuracy and Robustness of Genetic
Programming through Expression Simplification ---
Dale Hooper and Nicholas S. Flann
COAST: An Approach to Robustness and Reusability
in Genetic Programming --- Naohiro Hondo, Hitoshi
Iba, and Yukinori Kakazu
Recurrences with Fixed Base Cases in Genetic
Programming --- Stefan J. Johansson
Evolutionary and Incremental Methods to Solve Hard
Learning Problems --- Ibrahim Kuscu
Detection of Patterns in Radiographs using ANN
Designed and Trained with the Genetic Algorithm ---
Alejandro Pazos Julian Dorado and Antonino
Santos
The Logic-Grammars-Based Genetic Programming
System --- Man Leung Wong and Kwong Sak Leung
LONG GENETIC ALGORITHMS PAPERS
Genetic Algorithms with Analytical Solution ---
Erol Gelenbe
Silicon Evolution --- Adrian Thompson
SHORT GENETIC ALGORITHMS PAPERS
On Sensor Evolution in Robotics --- Karthik
Balakrishnan and Vasant Honavar
Testing Software using Order-Based Genetic
Algorithms --- Edward B. Boden and Gilford F.
Martino
Optimizing Local Area Networks Using Genetic
Algorithms --- Andy Choi
A Genetic Algorithm for the Construction of Small
and Highly Testable OKFDD Circuits --- Rold
Drechsler, Bernd Becker, and Nicole Gockel
Motion Planning and Design of CAM Mechanisms by
Means of a Genetic Algorithm --- Rodolfo Faglia
and David Vetturi
Evolving Strategies Based on the Nearest Neighbor
Rule and a Genetic Algorithm --- Matthias Fuchs
Recognition and Reconstruction of Visibility
Graphs Using a Genetic Algorithm --- Marshall S.
Veach
GENETIC ALGORITHMS POSTER PAPERS
The Use of Genetic Algorithms in the Optimization
of Competitive Neural Networks which Resolve the
Stuck Vectors Problem --- Tin Ilakovac, Zeljka
Perkovic, and Strahil Ristov
An Extraction Method of a Car License Plate using
a Distributed Genetic Algorithm --- Dae Wook Kim,
Sang Kyoon Kim, and Hang Joon Kim
EVOLUTIONARY PROGRAMMING AND EVOLUTION STRATEGIES
PAPERS
Evolving Fractal Movies --- Peter J. Angeline
Preliminary Experiments on Discriminating between
Chaotic Signals --- David B. Fogel and Lawrence J.
Fogel
Discovering Patterns in Spatial Data using
Evolutionary Programming --- Adam Ghozeil and
David B. Fogel
Evolving Reduced Parameter Bilinear Models for
Time Series Prediction using Fast Evolutionary
Programming --- Sathyanarayan S. Rao and Kumar
Chellapilla
CLASSIFIER SYSTEMS PAPERS
Three-Dimensional Shape Optimization Utilizing a
Learning Classifier System --- Robert A. Richards
and Sheri D. Sheppard
Classifier System Renaissance: New Analogies, New
Directions --- H. Brown Cribbs III and Robert E.
Smith
Natural Niching for Cooperative Learning in
Classifier Systems --- Jeffrey Horn and David E.
Goldberg
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