Metaheuristics 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...
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When 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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