Reactive Search and Intelligent Optimization

Authors:

ISBN: 978-0-387-09623-0 (Print) 978-0-387-09624-7 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages 1-9

  2. No Access

    Book Chapter

    Pages 1-8

    Introduction: Machine Learning for Intelligent Optimization

  3. No Access

    Book Chapter

    Pages 1-15

    Reacting on the neighborhood

  4. No Access

    Book Chapter

    Pages 1-9

    Reacting on the Annealing Schedule

  5. No Access

    Book Chapter

    Pages 1-24

    Reactive Prohibitions

  6. No Access

    Book Chapter

    Pages 1-9

    Reacting on the Objective Function

  7. No Access

    Book Chapter

    Pages 1-13

    Reacting on the Objective Function

  8. No Access

    Book Chapter

    Pages 1-33

    Supervised Learning

  9. No Access

    Book Chapter

    Pages 1-12

    Reinforcement Learning

  10. No Access

    Book Chapter

    Pages 1-11

    Algorithm Portfolios and Restart Strategies

  11. No Access

    Book Chapter

    Pages 1-9

    Racing

  12. No Access

    Book Chapter

    Pages 1-12

    Teams of Interacting Solvers

  13. No Access

    Book Chapter

    Pages 1-14

    Metrics, Landscapes and Features

  14. No Access

    Book Chapter

    Pages 1-3

    Open Problems

  15. Back Matter

    Pages 1-16