Genetic Algorithms—Principles and Perspectives

A Guide to GA Theory

Authors:

ISBN: 978-1-4020-7240-6 (Print) 978-0-306-48050-8 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-x

  2. No Access

    Chapter

    Pages 1-18

    Introduction

  3. No Access

    Chapter

    Pages 19-63

    Basic Principles

  4. No Access

    Chapter

    Pages 65-93

    Schema Theory

  5. No Access

    Chapter

    Pages 95-109

    No Free Lunch for GAs

  6. No Access

    Chapter

    Pages 111-140

    GAs as Markov Processes

  7. No Access

    Chapter

    Pages 141-171

    The Dynamical Systems Model

  8. No Access

    Chapter

    Pages 173-200

    Statistical Mechanics Approximations

  9. No Access

    Chapter

    Pages 201-230

    Predicting GA Performance

  10. No Access

    Chapter

    Pages 231-263

    Landscapes

  11. No Access

    Chapter

    Pages 265-285

    Summary

  12. Back Matter

    Pages 287-332