Genetic Programming Theory and Practice VI

Editors:

ISBN: 978-0-387-87622-1 (Print) 978-0-387-87623-8 (Online)

Table of contents (16 chapters)

  1. Front Matter

    Pages 1-14

  2. Chapter

    Pages 1-18

    Genetic Programming: Theory and Practice

  3. Chapter

    Pages 1-10

    APopulationBased Study ofEvolutionaryDynamics inGeneticProgramming

  4. Chapter

    Pages 1-14

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

  5. Chapter

    Pages 1-18

    Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study

  6. Chapter

    Pages 1-14

    Genetic Programming with Historically Assessed Hardness

  7. Chapter

    Pages 1-15

    Crossover and Sampling Biases on Nearly Uniform Landscapes

  8. Chapter

    Pages 1-20

    Analysis of theEffects ofElitismonBloat inLinear and Tree-basedGenetic Programming

  9. Chapter

    Pages 1-14

    Automated Extraction of Expert Domain Knowledge from Genetic Programming Synthesis Results

  10. Chapter

    Pages 1-19

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

  11. Chapter

    Pages 1-18

    Exploiting Trustable Models via Pareto GP for Targeted Data Collection

  12. Chapter

    Pages 1-16

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

  13. Chapter

    Pages 1-16

    ConstrainedGenetic Programming toMinimizeOverfitting in StockSelection

  14. Chapter

    Pages 1-19

    Co-Evolving Trading Strategies toAnalyzeBoundedRationality inDouble Auction Markets.

  15. Chapter

    Pages 1-14

    Profiling Symbolic Regression-Classification

  16. Chapter

    Pages 1-19

    Accelerating Genetic Programming through Graphics Processing Units.

  17. Chapter

    Pages 1-19

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

  18. Back Matter

    Pages 1-3