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We leverage evolutionary optimization to efficiently find optimal solutions. This involves free genetic algorithms that manipulate inputs and outputs to identify minimums or maximums, often yielding superb results in under a minute. This makes parametric logic highly effective and platform-agnostic, with tools like Grasshopper's Galapagos offering rapid setup. We can also optimize at the source-code level using open-source tools like GeneticSharp. This allows a single, modular plugin to explore vast design options, making optimization surprisingly straightforward for any parametric task, including multi-level optimization.