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At sziller.eu, we pride ourselves on offering powerful and highly customizable optimization solutions tailored to your needs. Our self-developed genetic engine is capable of handling a wide range of challenges, from architectural design and logistic problems to the optimization of physical system behavior. The engine is flexible enough to use multiple optimization methods, including Evolutionary Algorithms (EA), Simulated Annealing (SA), Ant Colony Optimization (ACO), or even a combination of these techniques for enhanced performance and accuracy.