Operations Research (OR) models are powerful. They can unlock massive efficiency gains, uncover hidden value, and guide better decisions. Yet many promising prototypes never make it into real-world use. Why? Because turning a mathematical...
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When most people open a web app, a mobile game, or a business tool, they don't think about mathematical optimization . Yet beneath the surface, many of these systems are quietly solving (or approximating) tough optimization problems that...
Continue ReadingArtificial Intelligence (AI) and Machine Learning (ML) dominate today's tech headlines. At the same time, Operations Research (OR) continues to quietly drive decision-making in industries from logistics to finance. Are these two worlds in...
Continue ReadingIn the world of decision-making, two powerful tools often appear side by side: optimization and simulation . Each shines in its own way - but when combined, they become far more than the sum of their parts. Optimization: Searching for the...
Continue ReadingMetaheuristics are powerful tools for solving complex optimization problems where exact solutions are impractical. From scheduling and routing to resource allocation, these algorithms help us find high-quality solutions efficiently, even...
Continue ReadingWhen we talk about algorithm performance, the discussion often drifts toward Big-O notation. While asymptotics are useful for comparing approaches, they rarely tell the full story. In practice, the difference between a sluggish algorithm...
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