Heuristic optimization

Heuristic optimization is a method used to find good solutions to complex problems quickly when exact solutions are difficult or slow to compute. Instead of exhaustively searching every possibility, it uses practical rules or strategies—called heuristics—to guide the search toward promising areas. Think of it like using experience or intuition to make effective decisions without exploring every option. While it may not always find the perfect answer, heuristic optimization often yields very good solutions efficiently, making it valuable in fields like logistics, scheduling, and machine learning where problems are often too complex for exact methods.