Pathfinding Algorithms
Pathfinding algorithms are computational methods used to find the shortest or most efficient path between two points in a graph, grid, or network, often applied in fields like robotics, video games, and logistics. They operate on data structures such as nodes and edges, evaluating costs like distance or time to determine optimal routes. Common examples include Dijkstra's algorithm, A* (A-star), and breadth-first search, each with different trade-offs in speed, accuracy, and memory usage.
Developers should learn pathfinding algorithms when building applications that require navigation, routing, or optimization, such as GPS systems, game AI for character movement, or network analysis tools. They are essential for solving problems in graph theory and artificial intelligence, enabling efficient resource allocation and real-time decision-making in complex environments.