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A* (pronounced "A-star") is a graph traversal and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. [1] Given a weighted graph, a source node and a goal node, the algorithm finds the shortest path (with respect to the given weights) from source to goal.
[2] [3] Although the basic idea of using logical reasoning to decide on actions is due to John McCarthy, [7] Nilsson's group was the first to embody it in a complete agent, along the way inventing the A* search algorithm [8] and founding the field of automated temporal planning.
In computer science, anytime A* is a family of variants of the A* search algorithm.Like other anytime algorithms, it has a flexible time cost, can return a valid solution to a pathfinding or graph traversal problem even if it is interrupted before it ends, by generating a fast, non-optimal solution before progressively optimizing it.
It is a generalization of pathfinding. Many multi-agent pathfinding algorithms are generalized from A*, or based on reduction to other well studied problems such as integer linear programming. [11] However, such algorithms are typically incomplete; in other words, not proven to produce a solution within polynomial time.
A* or A star may refer to: A* search algorithm, a pathfinding algorithm used in computing; A*, the highest grade in some examination systems such as the GCE Advanced Level; A*STAR, the Singapore Agency for Science, Technology and Research; AStar, the Eurocopter AS350 Écureuil helicopter; Class A star, a star of spectral class A
For the simplest version of Theta*, the main loop is much the same as that of A*. The only difference is the _ function. Compared to A*, the parent of a node in Theta* does not have to be a neighbor of the node as long as there is a line-of-sight between the two nodes.
In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.
The path found by A* on an octile grid vs. the shortest path between the start and goal nodes. Any-angle path planning algorithms are pathfinding algorithms that search for a Euclidean shortest path between two points on a grid map while allowing the turns in the path to have any angle.