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J. Eur. Opt. Society-Rapid Publ. 22, 45( 2026)
Appendix C: Replay experiment with other sample and mode
Gamut evolution with different optimization method for the modes-sample combinations not shown in Figure 5.
Figure
C. 1. Gamut size evolution for BO, GA and random,( a) for magnetron sputtering sample in specular reflection mode,( b) for mesoporous film in frontside reflection mode,( c) for the same sample in transmission mode.
Appendix D: Genetic Algorithm full description
After the laser processing and measurement, each candidate solution is then evaluated compared to others. Since optimization requires yielding more saturated colors, selecting the most chromatic colors is important; however, since the gamuts are asymmetricalitwouldfavorsomegamutregionsfartoomuch. Cucerca [ 11 ] addressed this issue by defining another metric called hue diversity to ensure that even the gamut region with low saturation colors get some representatives. This metric was adapted to the present study where the gamut asymmetry is more dire. Other metrics introduced like Design Space Diversity( DSD), Performance Space Diversity were discarded as the high sensitivity of the material towards the laser parameters rendered them uninformative for the exploration. The DSD metric, which assesses the distance of each input to its closest neighbors, does not provide meaningful
Figure D. 1. Non Dominated Sorting Algorithm example.( a) Determining the first front.( b) Determining the second front.( c) All points sorted in their front.