What is the main difference between Dijkstra's algorithm and A* algorithm?A) Dijkstra's is a greedy algorithm, while A* is an informed search algorithmB) A* algorithm uses heuristics to guide the search process, unlike Dijkstra's algorithmC) Dijkstra's algorithm is used for unweighted graphs, while A* is for weighted graphsD) A* algorithm always guarantees the shortest path
Question
What is the main difference between Dijkstra's algorithm and A* algorithm?A) Dijkstra's is a greedy algorithm, while A* is an informed search algorithmB) A* algorithm uses heuristics to guide the search process, unlike Dijkstra's algorithmC) Dijkstra's algorithm is used for unweighted graphs, while A* is for weighted graphsD) A* algorithm always guarantees the shortest path
Solution
The main difference between Dijkstra's algorithm and A* algorithm is that A* algorithm uses heuristics to guide the search process, unlike Dijkstra's algorithm. This means that A* has some extra information about the structure of the search space that it uses to guide its search, which can often make it more efficient than Dijkstra's algorithm.
Dijkstra's algorithm is not just for unweighted graphs, it can also be used for weighted graphs as long as the weights are non-negative. On the other hand, A* algorithm can also be used for both unweighted and weighted graphs.
Both Dijkstra's and A* algorithms are guaranteed to find the shortest path if such a path exists. However, A* algorithm is often faster because of its use of heuristics.
So, the correct answer is B) A* algorithm uses heuristics to guide the search process, unlike Dijkstra's algorithm.
Similar Questions
Which of the following statement(s) is/are correct?S1: In A* Algorithm, f(n) = g(n) + h(n), if n=0, and cost of operators are equal, then A* becomes uniform cost searchS2: In A* Algorithm, if h = 0 for all nodes, A* becomes a breadth-first search.a)Neither S1 nor S2b)Both S1 and S2c)Only S1d)Only S2
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In A* algorithm, if the heuristic function hNo is always zero, what search algorithm does it degenerate into? a. Depth-First Search b. Greedy Best-First Search c. Breadth-First Search d. Uniform Cost Search
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