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Genetic Programming Theory and Practice VI

  • Book
  • © 2009

Overview

Editors:
  1. Bill Worzel
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  2. Terence Soule
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  3. Rick Riolo
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  • Discusses the hurdles faced in solving large-scale, cutting-edge applications
  • Provides in depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems
  • Contributions by GP theorists from major universities and active practitioners from industry examine how GP theory informs practice and how GP practice impacts GP theory

Part of the book series: Genetic and Evolutionary Computation (GEVO)

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Table of contents (16 chapters)

  1. Front Matter

    Pages 1-14
    Download chapter PDF

  2. Genetic Programming: Theory and Practice

    • Terence Soule, Rick L. Riolo, Una-May O’Reilly
    Pages 1-18

  3. APopulationBased Study ofEvolutionaryDynamics inGeneticProgramming

    • A. A. Almal, C. D. MacLean, W. P Worzel
    Pages 1-10

  4. An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs

    • Stuart W. Card, Chilukuri K. Mohan
    Pages 1-14

  5. Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study

    • Andrew R. McIntyre, Malcolm I. Heywood
    Pages 1-18

  6. Genetic Programming with Historically Assessed Hardness

    • Jon Klein, Lee Spector
    Pages 1-14

  7. Crossover and Sampling Biases on Nearly Uniform Landscapes

    • Terence Soule
    Pages 1-15

  8. Analysis of theEffects ofElitismonBloat inLinear and Tree-basedGenetic Programming

    • Riccardo Poli, Nicholas F. McPhee, Leonardo Vanneschi
    Pages 1-20

  9. Automated Extraction of Expert Domain Knowledge from Genetic Programming Synthesis Results

    • Trent McConaghy, Pieter Palmers, Georges Gielen, Michiel Steyaert
    Pages 1-14

  10. Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases.

    • Jason H. Moore, Casey S. Greene, Peter C. Andrews, Bill C. White
    Pages 1-19

  11. Exploiting Trustable Models via Pareto GP for Targeted Data Collection

    • Mark Kotanchek, Guido Smits, Ekaterina Vladislavleva
    Pages 1-18

  12. Evolving Effective Incremental Solvers for SAT with a Hyper-Heuristic Framework Based on Genetic Programming

    • Mohamed Bader-El-Den, Riccardo Poli
    Pages 1-16

  13. ConstrainedGenetic Programming toMinimizeOverfitting in StockSelection

    • Minkyu Kim, Ying L. Becker, Peng Fei, Una-May O’Reilly
    Pages 1-16

  14. Co-Evolving Trading Strategies toAnalyzeBoundedRationality inDouble Auction Markets.

    • Shu-Heng Chen, Ren-Jie Zeng, Tina Yu
    Pages 1-19

  15. Profiling Symbolic Regression-Classification

    • Michael F. Korns, Loryfel Nunez
    Pages 1-14

  16. Accelerating Genetic Programming through Graphics Processing Units.

    • Wolfgang Banzhaf, Simon Harding, William B. Langdon, Garnett Wilson
    Pages 1-19

  17. Genetic Programming for Incentive-Based Design within a Cultural Algorithms Framework.

    • Mostafa Z. Ali, Robert G. Reynolds, Xiangdong Che
    Pages 1-19

  18. Back Matter

    Pages 1-3
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Keywords

About this book

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

These contributions address several significant interdependent themes which emerged from this year’s workshop, including: (1) Making efficient and effective use of test data. (2) Sustaining the long-term evolvability of our GP systems. (3) Exploiting discovered subsolutions for reuse. (4) Increasing the role of a Domain Expert.

Reviews

From the reviews:

"This book is a collection of contributions from various theorists and practitioners working in the genetic programming (GP) field. … anyone who is interested in the subject should monitor the ongoing research; this volume is an essential assistant for the task. … I found the book interesting … that stimulate the researcher to think of further applications of the presented techniques and methodologies. … I recommend it not only to GP researchers and practitioners, but also to any scientist dealing with optimization problems … ." (Lefteris Angelis, ACM Computing Reviews, March, 2009)

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