Genetic Programming Theory and Practice V

Editors:

ISBN: 978-0-387-76307-1 (Print) 978-0-387-76308-8 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiv

  2. No Access

    Book Chapter

    Pages 1-12

    Genetic Programming: Theory and Practice

  3. No Access

    Book Chapter

    Pages 13-32

    Better Solutions Faster: Soft Evolution of Robust Regression Models InParetogeneticprogramming

  4. No Access

    Book Chapter

    Pages 33-52

    Manipulation of Convergence in Evolutionary Systems

  5. No Access

    Book Chapter

    Pages 53-68

    Large-Scale, Time-Constrained Symbolic Regression-Classification

  6. No Access

    Book Chapter

    Pages 69-85

    Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitionercomputer Interaction

  7. No Access

    Book Chapter

    Pages 87-106

    Towards an Information Theoretic Framework for Genetic Programming

  8. No Access

    Book Chapter

    Pages 107-124

    Investigating Problem Hardness of Real Life Applications

  9. No Access

    Book Chapter

    Pages 125-142

    Improving the Scalability of Generative Representations for Openended Design

  10. No Access

    Book Chapter

    Pages 143-158

    Programstructure-Fitnessdisconnect and Its Impact on Evolution in Genetic Programming

  11. No Access

    Book Chapter

    Pages 159-184

    Genetic Programmingwith Reuse of Known Designs for Industrially Scalable, Novel Circuit Design

  12. No Access

    Book Chapter

    Pages 185-200

    Robust engineering design of electronic circuits with active components using genetic programming and bond Graphs

  13. No Access

    Book Chapter

    Pages 201-220

    Trustable symbolic regression models: using ensembles, interval arithmetic and pareto fronts to develop robust and trust-aware models

  14. No Access

    Book Chapter

    Pages 221-237

    Improving Performance and Cooperation in Multi-Agent Systems

  15. No Access

    Book Chapter

    Pages 239-259

    An Empirical Study of Multi-Objective Algorithms for Stock Ranking

  16. No Access

    Book Chapter

    Pages 261-276

    Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center

  17. Back Matter

    Pages 277-279