NOW AVAILABLE...

Late Breaking Papers at the
Genetic Programming 1996 Conference - 
Stanford University - July  28-31, 1996

210 Pages.  

In order to provide conference attendees at the Genetic 
Programming 1996 Conference (GP-96) held at Stanford 
University on July 28 P 31, 1996 (Sunday P Wednesday) with 
information about research that was initiated, enhanced, 
improved, or completed after the original paper submission 
deadline of January 10, 1996, this rapidly-printed book of 27 
late-breaking papers is being distributed to all attendees (in 
addition to the official conference proceedings published by the 
MIT Press).  The deadline for late-breaking papers was July 3, 
1996.  Late-breaking papers were briefly examined for minimum 
standards of acceptability and relevance, but were not peer 
reviewed or evaluated by the conference organizers.   This 
volume (ISBN 0-18-201-031-7) may be purchased directly from 
the Custom Publishing Department of the Stanford University 
Bookstore by calling 415-329-1217 or 800-533-2670 or by 
writing Custom Publishing Department, Stanford Bookstore, 
Stanford University, Stanford, California 94305-3079 USA.  
The E-Mail address of the bookstore for mail orders is 
mailorder@bookstore.stanford.edu.   The price is 
$9.54 plus $6.00 shipping and handling (in the USA).  

CONTENTS

A Platform-Independent Collaborative Interface for
Genetic Programming Applications: Image Analysis for
Scientific Inquiry
Tommaso F. Bersano-Begey, Jason M. Daida, John F.
Vesecky and Frank L. Ludwig

Genetic Search of Reliable Encodings for DNA-Based
Computation
R. Deaton, M. Garzon, R. C. Murphy, J. A. Rose, D. R.
Franceschetti, and S. E. Stevens, Jr. 

Evolutionary Algorithms for Natural Language Processing
Ted E. Dunning and Mark W. Davis
Some Applications of Genetic Programming in Digital
Signal Processing
Anna I. Esparcia Alcazar and Ken C. Sharman

Nonlinear Model Structure Identification Using Genetic
Programming
Gary J. Gray, David J. Murray-Smith, Yun Li, and Ken. C.
Sharman

Collective Memory Search
Thomas Haynes

Cooperation of the Fittest
Thomas Haynes and Sandip Sen

Modelling Chemical Process Systems Using a Multi-Gene
Genetic Programming Algorithm
Mark Hinchliffe, Hugo Hiden, Ben McKay, Mark Willis,
Ming Tham, and Geoffery Barton

Emergent Cooperation for Multiple Agents using Genetic
Programming
Hitoshi Iba

Random Tree Generation for Genetic Programming
Hitoshi Iba

An Adaptive Genetic Algorithm for Image Data
Compression
J. Jiang and D. Butler

Contest Length, Noise, and Reciprocal Altruism in the
Population of a Genetic Algorithm for the Iterated
Prisoner's Dilemma
Bryant A. Julstrom

Evolution of a Low-Distortion, Low-Bias 60 Decibel Op
Amp with Good Frequency Generalization using Genetic
Programming
John R. Koza, David Andre, Forrest H Bennett III, and
Martin A. Keane

Evolutionary and Incremental Methods to Solve Hard
Learning Problems
Ibrahim Kuscu

Scheduling Maintenance of Electric Power Transmission
Networks Using Genetic Programming
W. B. Langdon

Evolving Graphs and Networks with Edge Encoding:
Preliminary Report
Sean Luke and Lee Spector

Why Might Some Problems Be Difficult for Genetic
Programming to Find Solutions?
S. R. Maxwell

Capturing Preference into a Function using Interactions
with a Manual Evolutionary Design Aid System
Yasuto Nakanishi

Distinguishing Genotype and Phenotype in Genetic
Programming
Norman R. Paterson and Mike Livesey

Implicit versus Explicit: A Comparison of State in Genetic
Programming
Simon E.Raik and David G. Browne

A New Uniform Order-Based Crossover Operator for
Multi-Component Combinatorial Optimization Problems
Funda Sivrikaya-Serifoglu and Gunduz Ulusoy

Conjugation _ A Bacterially Inspired Form of Genetic
Recombination
Peter Smith

An Individually Variable Mutation-Rate Strategy for
Genetic Algorithms
Stephen A. Stanhope and Jason M. Daida

Neural Programming and an Internal Reinforcement
Policy
Astro Teller and Manuela Veloso
Genetic Programming without Fitness
Andrea G. B.Tettamanzi

Building Software Agents for Information Filtering on the
Internet: A Genetic Programming Approach
Byoung-Tak Zhang, Ju-Hyun Kwak, and Chang-Hoon Lee

Emotional Expression Classification by Genetic
Programming
Jun Zhao, Garrett Kearney, and Alan Soper