heuristically based algorithms

Heuristically based algorithms are problem-solving methods that find good, practical solutions quickly without guaranteeing the perfect answer. They use rules of thumb, experience, or approximate strategies to guide decision-making, especially when dealing with complex or large problems where exact solutions are computationally expensive or impossible. Essentially, they prioritize efficiency and practicality over perfection, providing solutions that are often sufficient for real-world needs. These algorithms are especially useful in tasks like routing, scheduling, or optimization where timely results are more important than absolute optimality.