This research focuses on developing innovative computational methods for enhancing decision-making processes in complex systems, integrating advanced machine learning and heuristic techniques across a wide range of applications from multi-objective optimization to railway scheduling and traffic flow modeling. The primary goal is to create sustainable solutions by leveraging integrated technologies that address technical challenges while minimizing environmental impact.
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