Journal ArticleDOI
Multiobjective generalized extremal optimization algorithm for simulation of daylight illuminants
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TLDR
The methodology applied to model the LEDs, together with the theoretical basis for CCT and CRI calculation, is presented and a comparative result analysis of M-GEO evolutionary algorithm with the Levenberg–Marquardt conventional deterministic algorithm is presented.Abstract:
Daylight illuminants are widely used as references for color quality testing and optical vision testing applications. Presently used daylight simulators make use of fluorescent bulbs that are not tunable and occupy more space inside the quality testing chambers. By designing a spectrally tunable LED light source with an optimal number of LEDs, cost, space, and energy can be saved. This paper describes an application of the generalized extremal optimization (GEO) algorithm for selection of the appropriate quantity and quality of LEDs that compose the light source. The multiobjective approach of this algorithm tries to get the best spectral simulation with minimum
fitness error toward the target spectrum, correlated color temperature (CCT) the same as the target spectrum, high color rendering index (CRI), and luminous flux as required for testing applications. GEO is a global search algorithm based on phenomena of natural evolution and
is especially designed to be used in complex optimization problems. Several simulations have been conducted to validate the performance of the algorithm. The methodology applied to model the LEDs, together with the theoretical basis for CCT and CRI calculation, is presented in this
paper. A comparative result analysis of M-GEO evolutionary algorithm with the Levenberg– Marquardt conventional deterministic algorithm is also presentedread more
Citations
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Journal ArticleDOI
Metabolic Variations in Grass C. dactylon and Selection of Optimal LEDs for the Horticulture Luminaire Using LM Algorithm
TL;DR: In this paper, a solution of optimal LEDs for three Photosynthetic Photon Flux (PPF) levels with LEDs is derived, and it is observed that the number of LEDs increased with PPF.
Journal ArticleDOI
A Tunable LED Daylight Luminaire for Textile and Printing Light Booth Application with Optimum LEDs
TL;DR: In this article , the optimal design of a polychromatic LED luminaire, mimicking D50, D65 and D75 daylight spectrum with CRI > 90 and average illuminance 2000 lx was investigated.
References
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New Stochastic Algorithm for Design Optimization
TL;DR: It is shown that the GEO algorithm is competitive in performance with the GA and SA and is an attractive tool to be used on applications in the aerospace field.
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