Classical and Evolutionary Algorithms in the Optimization of Optical Systems

  • Darko Vasiljević

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Darko Vasiljević
    Pages 1-9
  3. Darko Vasiljević
    Pages 41-67
  4. Darko Vasiljević
    Pages 69-82
  5. Darko Vasiljević
    Pages 83-88
  6. Darko Vasiljević
    Pages 89-99
  7. Darko Vasiljević
    Pages 101-117
  8. Darko Vasiljević
    Pages 119-136
  9. Darko Vasiljević
    Pages 187-211
  10. Darko Vasiljević
    Pages 213-236
  11. Darko Vasiljević
    Pages 237-260
  12. Darko Vasiljević
    Pages 261-263
  13. Back Matter
    Pages 265-279

About this book

Introduction

The optimization of optical systems is a very old problem. As soon as lens designers discovered the possibility of designing optical systems, the desire to improve those systems by the means of optimization began. For a long time the optimization of optical systems was connected with well-known mathematical theories of optimization which gave good results, but required lens designers to have a strong knowledge about optimized optical systems. In recent years modern optimization methods have been developed that are not primarily based on the known mathematical theories of optimization, but rather on analogies with nature. While searching for successful optimization methods, scientists noticed that the method of organic evolution (well-known Darwinian theory of evolution) represented an optimal strategy of adaptation of living organisms to their changing environment. If the method of organic evolution was very successful in nature, the principles of the biological evolution could be applied to the problem of optimization of complex technical systems.

Keywords

evolution evolutionary algorithm evolutionary strategies genetic algorithms knowledge optimization

Authors and affiliations

  • Darko Vasiljević
    • 1
  1. 1.Military Technical Institute, Yugoslavia Military Academy, Yugoslavia Mechanical Engineering FacultyUniversity of BelgradeYugoslavia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1051-2
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5370-6
  • Online ISBN 978-1-4615-1051-2
  • About this book