Paper
1 September 2004 Optimization for illumination systems: the next level of design
Author Affiliations +
Abstract
Computers are routinely used to design illumination systems. Automating the design process is enhanced through the use of optimization procedures. This paper describes some of the underlying illumination optimization fundamentals: parameterization, merit functions, and optimization algorithms. Numerous interesting examples of illumination design problems that benefit from optimization are shown. These examples illustrate illumination optimization through use of ray aiming, computing illuminance using flux tubes, and computing illuminance using Monte Carlo simulations.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas L. R. Davenport, Thomas A. Hough, and William J. Cassarly "Optimization for illumination systems: the next level of design", Proc. SPIE 5456, Photon Management, (1 September 2004); https://doi.org/10.1117/12.548683
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Optimization (mathematics)

Compound parabolic concentrators

Monte Carlo methods

Ray tracing

Reflectors

Aspheric lenses

Solar concentrators

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