Classical and Evolutionary Algorithms in the Optimization of Optical Systems
General Material Designation
[Book]
First Statement of Responsibility
by Darko Vasiljević.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boston, MA
Name of Publisher, Distributor, etc.
Springer US : Imprint : Springer
Date of Publication, Distribution, etc.
2002
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(296 pages)
CONTENTS NOTE
Text of Note
1 Introduction --;2 Classical algorithms in the optimization of optical systems --;3 Genetic algorithms --;4 Evolution strategies --;5 Comparison of optimization algorithms --;6 Ray trace --;7 Aberrations --;8 Damped least squares optimization implementation --;9 Adaptive steady-state genetic algorithm implementation --;10 Two membered evolution strategy ES EVOL implementation --;11 Multimembered evolution strategies ES GRUP and ES REKO implementation --;12 Multimembered evolution strategy ES KORR implementation --;13 The Cooke triplet optimizations --;14 The Petzval objective optimizations --;15 The Double Gauss objective optimizations --;16 Summary and outlook --;Appendix A Description of ADOS --;the program for automatic design of optical systems --;Online bibliography --;References.
SUMMARY OR ABSTRACT
Text of Note
The optimization of optical systems is a very old problem. 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.