Classical and Evolutionary Algorithms
in the Optimization of Optical Systems
Darko Vasiljeviæ
Genetic Algorithms and Evolutionary Computation, volume 9
Kluwer Academic Publishers, Boston / Dordrecht / London
Hardbound, ISBN 1-4020-7140-X
August 2002 , 296 pp.

 

 

 

Book summary

CLASSICAL AND EVOLUTIONARY ALGORITHMS IN THE OPTIMIZATION OF OPTICAL SYSTEMS presents research results in the field of classical and evolutionary algorithms and their application to the optimization of optical systems. This book, which is divided into four parts, illustrates the development of research from the classical least squares method of optimization and its numerous modifications to modern optimization methods that are based on analogies with nature such as genetic algorithms and evolution strategies. Part I describes the mathematical foundations of classical and evolutionary algorithms in the optimization of optical systems. Part II is dedicated to optical design fundamentals. Part III deals with the implementation of the classical and evolutionary algorithms in the program for the optimization of optical systems. Every chapter in this section includes a detailed description of the optimization method with the flow chart diagram. And finally, Part IV presents the results and the discussion of optimization of various types of objectives.

CLASSICAL AND EVOLUTIONARY ALGORITHMS IN THE OPTIMIZATION OF OPTICAL SYSTEMS is intended for researchers and post graduate students in the field of optical design who want to learn more about new optimization methods, such as genetic algorithms and evolution strategies, and for those who want to learn more about classical and evolutionary optimization methods and their application to the optimization of optical systems.

Advance praise for
Classical and Evolutionary Algorithms in the Optimization of Optical System

Few books exist which detail the algorithms that have been developed over the past 50 years for the numerical optimization of optical systems. This comprehensive body of work is both an excellent review and discussion of these now classical methods as well as a fascinating development of a new class of optimization strategies: optimization as an evolutionary process. Darko Vasiljeviæ has detailed the underlying theory of global genetic optimization, as well as developed extensive specific examples and algorithm implementation in software. This book is an important addition to the library of knowledge about the methods of optical design.

Ken Moore, President, Focus Software, Inc

Darko Vasiljeviæ's book Classical and Evolutionary Algorithms in the Optimization of Optical Systems is the first book in Kluwer's GENA series devoted to a particular application domain, but based on its success in integrating method and practice it won't be the last. In this admirable volume the author introduces genetic and evolutionary optimization as well as classical techniques and then proceeds to apply them in a step-by-step fashion to important problems of practice in the design of optical systems. The book is useful to the practitioner as a welcome roadmap to the application of practical optimization techniques in optics. At the same time, it is useful to genetic and evolutionary computation (GEC) researchers as another piece of empirical evidence verifying the wide breadth of application being achieved by GEC techniques. For optics scientists and engineers, Darko Vasiljeviæ's book deserves a honored place on your book shelves: it is a both a must have and a must read. For GEC researchers, the book, too, deserves a special home among your others as both an exemplar of practical, effective application of GEC method and as another critical piece of evidence ratifying the breadth of GEC technique.

David E. Goldberg, University of Illinois at Urbana-Champaign

About author

Darko Vasiljeviæ (BSE 1984, MSE 1990, PhD 1998 in Optical design from Mechanical Engineering Faculty, University of Belgrade Yugoslavia) works in the Military Technical Institute as a leading researcher for the optical design and the optimization of optical systems. He is a visiting professor at the Military Academy and at the Mechanical Engineering Faculty, University of Belgrade.

He developed several computer programs for various kinds of optical design and for different operating systems. The largest and the most complex program is ADOS - Automatic Design of Optical Systems. The program can be used for the design and the optimization (both classical and global - evolutionary) of optical systems.

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Table of contents

Preface ix
Acknowledgments xiii
Chapter 1 Introduction 1
Chapter 2 Classical algorithms in the optimization of optical systems 11
Chapter 3 Genetic algorithms 41
Chapter 4 Evolution strategies 69
Chapter 5 Comparison of optimization algorithms 83
Chapter 6 Ray trace 89
Chapter 7 Aberrations 101
Chapter 8 Damped least squares optimization implementation 119
Chapter 9 Adaptive steady-state genetic algorithm implementation 137
Chapter 10 Two membered evolution strategy ES EVOL implementation 155
Chapter 11 Multimembered evolution strategies ES GRUP and ES REKO implementation 165
Chapter 12 Multimembered evolution strategy ES KORR implementation 175
Chapter 13 The Cooke triplet optimizations 187
Chapter 14 The Petzval objective optimizations 213
Chapter 15 The Double Gauss objective optimizations 237
Chapter 16 Summary and outlook 261
Appendix A Description of ADOS - the program for automatic design of optical systems 265
Online bibliography 271
References 273
Index 277

Other Volumes in the Kluwer Series on
Genetic Algorithms and Evolutionary Computation (GENA):

Volume 1: Efficient and Accurate Parallel Genetic Algorithms by Erick Cantú-Paz
Volume 2: Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation by Pedro Larrañaga, José A. Lozano
Volume 3: Evolutionary Optimization in Dynamic Environments by Jürgen Branke
Volume 4: Anticipatory Learning Classifier Systems by Martin V. Butz
Volume 5: Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos A. Coello Coello, David A. Van Veldhuizen, Gary B. Lamont
Volume 6: OmeGA by Dimitri Knjazew
Volume 7: The Design of Innovation by David E. Goldberg
Volume 8: Noisy Optimization with Evolution Strategies by Dirk V. Arnold

More information about this book series is available here