2018
DOI: 10.1016/j.cag.2018.09.010
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Heuristic driven inverse reflector design

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Cited by 5 publications
(8 citation statements)
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References 29 publications
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“…Mas et al . [MMP18] presented a global optimization algorithm specifically tailored for inverse design problems in the domain of reflector design, but it can be used for more general problems, as we did here with a high degree of success. To perform the optimization, the method they propose is based on constructing a binary tree in which each tree node represents a battle where the objective function must be evaluated.…”
Section: Battlefield Designmentioning
confidence: 99%
See 3 more Smart Citations
“…Mas et al . [MMP18] presented a global optimization algorithm specifically tailored for inverse design problems in the domain of reflector design, but it can be used for more general problems, as we did here with a high degree of success. To perform the optimization, the method they propose is based on constructing a binary tree in which each tree node represents a battle where the objective function must be evaluated.…”
Section: Battlefield Designmentioning
confidence: 99%
“…Therefore, we used an optimizationbased system to explore the search space and find a suitable solution that exhibits the desired battle outcome. We have tested Metropolis-Hastings and simulated annealing optimizers, but we obtained the best results with a variant of the global optimization algorithm by Mas et al [MMP18]. See below.…”
Section: Inverse Designmentioning
confidence: 99%
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“…Illumination as a goal has been central to other forms of inverse design, such as inverse lighting optimization for luminaire placement, car headlight design and opening design. Notable methods in this genre include the works of Kawai et al [KPC93] for designing the illumination in a static environment, Schwarz and Wonka [SW14] on street light pose optimization, Gkaravelis and Papaioannou [GP16] on the population of interior environments with light sources and Mas et al [MMP18] on headlight reflector design.…”
Section: Related Workmentioning
confidence: 99%