Classical and Evolutionary Algorithms in the Optimization of Optical Systems (Genetic Algorithms and Evolutionary Computation, 9)

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.