Shining a light on camouflage evolution: Using genetic algorithms to determine the effects of geometry and lighting on optimal camouflage
Fig 2
Schematic for experimental design using a meadow habitat as a demo.
(A) Prey pattern generation using CamoEvo patterns, spherical deformation and rendering. (B) Calibrated raw, gloss and rendered targets under diffuse (left) and direct (right) lighting conditions. (C) Virtual online predation experiment using 28 different habitats and 3 lighting conditions. Each treatment evolved for 20 generations with 24 targets per population. The selection of targets was based on a hybrid of the time taken to click on and the time taken to respond to the target (survival time). The target pattern used was a sample pattern shown from the last generation (gen = 20) of the direct lighting-only evolved condition for the chalk wildflower meadow habitat.