Genetic Programming Theory and Practice

Editors:

ISBN: 978-1-4613-4747-7 (Print) 978-1-4419-8983-3 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xvi

  2. No Access

    Book Chapter

    Pages 1-10

    Genetic Programming: Theory and Practice

  3. No Access

    Book Chapter

    Pages 11-23

    An Essay Concerning Human Understanding of Genetic Programming

  4. No Access

    Book Chapter

    Pages 25-42

    Classification of Gene Expression Data with Genetic Programming

  5. No Access

    Book Chapter

    Pages 43-61

    Artificial Regulatory Networks and Genetic Programming

  6. No Access

    Book Chapter

    Pages 63-80

    Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms

  7. No Access

    Book Chapter

    Pages 81-98

    Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming

  8. No Access

    Book Chapter

    Pages 99-118

    What Makes a Problem GP-Hard?

  9. No Access

    Book Chapter

    Pages 119-135

    A Probabilistic Model of Size Drift

  10. No Access

    Book Chapter

    Pages 137-154

    Building-Block Supply in Genetic Programming

  11. No Access

    Book Chapter

    Pages 155-171

    Modularization by Multi-Run Frequency Driven Subtree Encapsulation

  12. No Access

    Book Chapter

    Pages 173-187

    The Distribution of Reversible Functions is Normal

  13. No Access

    Book Chapter

    Pages 189-204

    Doing Genetic Algorithms the Genetic Programming Way

  14. No Access

    Book Chapter

    Pages 205-220

    Probabilistic Model Building and Competent Genetic Programming

  15. No Access

    Book Chapter

    Pages 221-237

    Automated Synthesis by Means of Genetic Programming of Complex Structures Incorporating Reuse, Parameterized Reuse, Hierarchies, and Development

  16. No Access

    Book Chapter

    Pages 239-255

    Industrial Strength Genetic Programming

  17. No Access

    Book Chapter

    Pages 257-269

    Operator Choice and the Evolution of Robust Solutions

  18. No Access

    Book Chapter

    Pages 271-289

    A Hybrid GP-Fuzzy Approach for Resevoir Characterization

  19. No Access

    Book Chapter

    Pages 291-302

    Enhanced Emerging Market Stock Selection

  20. No Access

    Book Chapter

    Pages 303-311

    Three Fundamentals of the Biological Genetic Algorithm

  21. Back Matter

    Pages 313-317