Uniform Cost Search (UCS) Algorithm Conversion of A*Search
Uniform Cost Search (UCS) Algorithm Conversion of A*Search The A* Search algorithm is a graph traversal and path-finding algorithm used to identify the optimal path from one node to another. The algorithm uses both Depth First Search and Breadth First Search to determine the ideal path to the goal node. This same algorithm can easily be transformed into Uniform Cost Search (UCS). To convert an A* Search algorithm into UCS, one must ensure that the heuristic function is set to 0. By doing this, A* Search will be forced to pick the nodes with the lowest cost first rather than using the heuristic to identify the shortest path. The optimal solution will depend on the amount of edges that have been explored and their weight (Riquelme 2017,). We also have to make sure that each node in the graph has the same cost. This will ensure that A* Search will have no preference, and provide the most cost-effective solution. The cost of traveling between connected nodes must be constant. UCS will not allow travel costs to change between connected nodes. This would violate UCS’ uniform cost condition. The result may be less optimal. (Lam out, 2021). Thus, the reduced A* Search algorithm made into UCS should prioritize the nodes with the lowest cost associated before further exploration. References Lam Out, B. (2021). A* Algorithm: A Classical Problem Solving Method. Medium. Retrieved 22 April 2021, from https://medium.com/@kokteylady/a-algorithm-a-classical-problem-solving-method-57ce74ed1b2d Riquelme, D. D. (2017). A*: Heuristic Pathfinding Algorithm Explained. Medium. Retrieved 22 April 2021, from https://medium.com/@daviddasneves/a-heuristic-pathfinding-algorithm-explained-7c402da14d87Cont…
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