Genetic Programming Theory and Practice IV


ISBN: 978-0-387-33375-5 (Print) 978-0-387-49650-4 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xvi

  2. Chapter

    Pages 1-10

    Genetic Programming: Theory and Practice

  3. Chapter

    Pages 11-28

    Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge

  4. Chapter

    Pages 29-40

    Lifting the Curse of Dimensionality

  5. Chapter

    Pages 41-59

    Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots

  6. Chapter

    Pages 61-78

    Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification

  7. Chapter

    Pages 79-95

    Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors

  8. Chapter

    Pages 97-112

    Multidimensional Tags, Cooperative Populations, and Genetic Programming

  9. Chapter

    Pages 113-130

    Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations

  10. Chapter

    Pages 131-147

    Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits

  11. Chapter

    Pages 149-166

    Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data

  12. Chapter

    Pages 167-185

    Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization

  13. Chapter

    Pages 187-201

    Applying Genetic Programming to Reservoir History Matching Problem

  14. Chapter

    Pages 203-217

    Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs

  15. Chapter

    Pages 219-236

    Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms

  16. Chapter

    Pages 237-256

    Phase Transitions in Genetic Programming Search

  17. Chapter

    Pages 257-278

    Efficient Markov Chain Model of Machine Code Program Execution and Halting

  18. Chapter

    Pages 279-298

    A Re-Examination of a Real World Blood Flow Modeling Problem Using Context-Aware Crossover

  19. Chapter

    Pages 299-314

    Large-Scale, Time-Constrained Symbolic Regression

  20. Chapter

    Pages 315-334

    Stock Selection: An Innovative Application of Genetic Programming Methodology

  21. Back Matter

    Pages 335-338