Search Methodologies

Introductory Tutorials in Optimization and Decision Support Techniques

  • Edmund K. Burke
  • Graham Kendall

Table of contents

  1. Front Matter
    Pages i-4
  2. Edmund K. Burke, Graham Kendall
    Pages 5-18
  3. Kathryn A. Dowsland
    Pages 19-68
  4. Robert Bosch, Michael Trick
    Pages 69-95
  5. Kumara Sastry, David Goldberg, Graham Kendall
    Pages 97-125
  6. John R. Koza, Riccardo Poli
    Pages 127-164
  7. Michel Gendreau, Jean-Yves Potvin
    Pages 165-186
  8. Emile Aarts, Jan Korst, Wil Michiels
    Pages 187-210
  9. Pierre Hansen, Nenad Mladenović
    Pages 211-238
  10. Eugene C. Freuder, Mark Wallace
    Pages 239-272
  11. Kalyanmoy Deb
    Pages 273-316
  12. Darrell Whitley, Jean Paul Watson
    Pages 317-339
  13. Xin Yao, Yong Liu
    Pages 341-373
  14. Uwe Aickelin, Dipankar Dasgupta
    Pages 375-399
  15. Daniel Merkle, Martin Middendorf
    Pages 401-435
  16. Costas P. Pappis, Constantinos I. Siettos
    Pages 437-474
  17. Roman Slowinski, Salvatore Greco, Benedetto Matarazzo
    Pages 475-527
  18. Peter Ross
    Pages 529-556
  19. Carla P. Gomes, Ryan Williams
    Pages 557-585
  20. Colin R. Reeves
    Pages 587-610

About this book

Introduction

Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field.

The result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems. It has been written by some of the world’s most well known authors in the field.

Keywords

SAS algorithm algorithms fuzzy genetic algorithms genetic programming multi-objective optimization operations research optimization programming

Editors and affiliations

  • Edmund K. Burke
    • 1
  • Graham Kendall
    • 1
  1. 1.University of NottinghamUK

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-28356-0
  • Copyright Information Springer Science+Business Media, LLC 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-23460-1
  • Online ISBN 978-0-387-28356-2
  • About this book