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Genetic Programming

Papers from the 1995 Fall Symposium

John R. Koza and Eric V. Siegel Program Cochairs

Technical Report FS-95-01. Published by The AAAI Press, Menlo Park, California

This technical report is also available in book and CD format.

Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!

Contents

Preface / 1
John Koza and Eric Siegel

Applying Genetic Programming to Intrusion Detection / 1
Mark Crosbie and Eugene H. Stafford

Bargaining in a Three-Agent Coalitions Game: An Application of Genetic Programming / 9
Garett Dtrorman, Steven O. Kimbrough, and James D. Lying

Predicting Whether Or Not a 60-Base DNA Sequence Contains a Centrally-Located Splice Site Using Genetic Programming / 17
Simon Handley

Evolving a Team / 23
Thomas Haynes, Sandip Sen, Dale Schoenefeld and Roger Wainwright

Parallel Genetic Programming on Fine-Grained SIMD Architectures / 31
Fugues Juillé and Jordan B. Pollack

Automated Discovery of Protein Motifs with Genetic Programming / 38
John R. Koza and David Andre

Evolution of Both the Architecture and the Sequence of Work-Performing Steps of a Computer Program Using Genetic Programming with Architecture-Altering Operations / 50
John R. Koza and David Andre

Genetic Programming Controlling a Miniature Robot / 61
Peter Nordin and Wolfgang Banzhaf

Genetic Programming as a Means of Assessing and Reflecting Chaos / 68
E. Howard N. Oakley

Automatic Discovery of Classification and Estimation Algorithms for Earth-Observation Satellite Imagery / 73
Rick L. Riolo and Mark P. Line

Towards Automatic Discovery of Building Blocks in Genetic Programming / 78
Justinian P. Rosca

GPRobots and GPTeams - Competition, Co-evolution and Co-operation in Genetic Programming / 86
Conor Ryan

External Concepts Reuse in Genetic Programming / 94
Gregory Seront

Evolving Control Structures with Automatically Defined Macros / 99
Lee Spector

Language Representation Progression in Genetic Programming / 106
Astro Teller

Dynamic Classifiers: Genetic Programming and Classifier Systems / 114
Patrick Tufts

Evolving Parallel SISAL Programs Using GP / 120
V. Rao Vemuri and Patrick Miller

MDL-Based Fitness Functions for Learning Parsimonious Programs / 122
Byoung-Tak Zhang and Heinz Muhlenbein

Context-Free Language Induction by Evolution of Deterministic Push-Down Automata Using Genetic Programming / 127
Afra Zomorodian

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