Topoesthetics 2.0 builds on the framework of Topoesthetics 1.0, transitioning from pixel-based optimization to a refined method that integrates pattern generation and aesthetic analysis. Using the Parakeet plugin, patterns are generated and then captured by a camera for classification by a CNN, which identifies key aesthetic features. A genetic optimization algorithm, powered by the Opposum optimizer, then iteratively adjusts the pattern to enhance specific aesthetic qualities. Rather than modifying pixel brightness, this approach optimizes the thickness of structural members within the pattern. Through iterative size optimization