Heuristic Algorithms

Heuristic algorithms are problem-solving methods that use practical approaches to find satisfactory solutions when classic methods are too slow or fail to find an optimal solution. These algorithms rely on experience-based techniques and rules of thumb to make decisions, often trading off optimality for speed and efficiency. Common characteristics include their adaptability to various problems and their ability to provide good enough solutions within a reasonable timeframe. Heuristic algorithms are widely used in fields such as optimization, artificial intelligence, and operations research for tasks like route planning, scheduling, and game playing.