A consistent heuristic is one where the estimated cost from the current node to the goal is always less than or equal to the cost from the current node to a neighbor plus the estimated cost from the neighbor to the goal. This property ensures that the A* search algorithm using this heuristic is both optimal and efficient, as it prevents the algorithm from revisiting nodes unnecessarily.

Consistent Heuristic

consistent heuristic

estimated cost

current node

A goal is a desired outcome or target that an individual or organization aims to achieve, serving as a guiding principle for decision-making and behavior. Effective goals are specific, measurable, attainable, relevant, and time-bound, providing clarity and motivation for action.

goal

neighbor

The A* Search Algorithm is a popular pathfinding and graph traversal algorithm that finds the shortest path from a start node to a goal node by using a heuristic to prioritize exploration of nodes that appear most promising. It combines the benefits of Dijkstra's Algorithm and Greedy Best-First Search, ensuring optimal and complete solutions when the heuristic is admissible and consistent.

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