What is the best alternative to A* Algorithm?
Here’s the Deal
Slant is powered by a community that helps you make informed decisions. Tell us what you’re passionate about to get your personalized feed and help others.
Dijkstra is an uninformed algorithm. This means that it does not need to know the target node beforehand. For this reason it's optimal in cases where you don't have any prior knowledge of the graph when you cannot estimate the distance between each node and the target. See More
If we take for example 3 Nodes (A, B and C) where they form an undirected graph with edges: AB = 3, AC = 4, BC=-2, the optimal path from A to C costs 1 and the optimal path from A to B costs 2. If we apply Dijkstra's algorithm: starting from A it will first examine B because it is the closest node. and will assign a cost of 3 to it and therefore mark it closed which means that its cost will never be reevaluated. This means that Dijkstra's cannot evaluate negative edge weights. See More
When traversing one tree level, you need a way to know which nodes to traverse once you get to the next one. The way this is done is by storing the pointers to a level's child nodes while searching it. The pointers are stored in a FIFO way, this means that BFS needs a relatively large amount of memory in order to store the pointers. The amount of course depends on the complexity of the graph tree and the amount of nodes and/or levels. See More
Help millions of people make better decisions.
Each month, over 2.8 million people use Slant to find the best products and share their knowledge. Pick the tags you’re passionate about to get a personalized feed and begin contributing your knowledge.