RT Journal Article
T1 Application of dynamic merit function to nonimaging systems optimization
A1 Álvarez Fernández-Balbuena, Antonio
A1 González Montes, Mario
A1 García Botella, Ángel
A1 Vázquez Moliní, Daniel
AB Automatic optimization algorithms have been recently introduced as nonimaging optics design techniques. Unlike optimization of imaging systems, nonsequential ray tracing simulations and complex noncentered systems design must be considered, adding complexity to the problem. The merit function is a key element in the automatic optimization algorithm; nevertheless, the selection of each objective’s weight, {wi}{wi}, inside the merit function needs a prior trial and error process for each optimization. The problem then is to determine appropriate weights’ values for each objective. We propose a new dynamic merit function with variable weight factors {wi(n)}{wi(n)}. The proposed algorithm automatically adapts weight factors during the evolution of the optimization process. This dynamic merit function avoids the previous trial and error procedure by selecting the right merit function and provides better results than conventional merit functions.
PB Spie-Soc Photo-Optical Instrumentation Engineers
SN 0091-3286
YR 2015
FD 2015-02-09
LK https://hdl.handle.net/20.500.14352/23088
UL https://hdl.handle.net/20.500.14352/23088
LA eng
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