T�tulo: Classical and Evolutionary Algorithms in the Optimization of Optical Systems (Genetic Algorithms and Evolutionary Computation, 9)
Editor: Springer
Fecha de publicaci�n: 2002
Idioma: Ingl�s
ISBN 10: 140207140X
ISBN 13: 9781402071409
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

Rese�a del editor

This text 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.

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