Correct option is D
Let's analyze each algorithm and its connection to Breadth First Search (BFS):
1. Prim's Algorithm (A):
Prim's Algorithm is used to find the Minimum Spanning Tree (MST) of a graph. It starts from any node and adds the nearest vertex to the MST by choosing the smallest weight edge. It is based on BFS, as it explores the graph level by level, selecting the closest edge at each step, similar to how BFS explores nodes.
2. Kruskal's Algorithm (B):
Kruskal's Algorithm also finds the Minimum Spanning Tree (MST). However, it works by sorting all the edges by weight and adding them one by one to the MST if they do not form a cycle. Kruskal's algorithm is not based on BFS; it uses a sorting strategy and a union-find data structure, making it different from BFS.
3. Dijkstra's Algorithm (C):
Dijkstra's Algorithm is used to find the shortest path from a source node to all other nodes in a weighted graph. Dijkstra’s algorithm is often implemented using a priority queue (or a BFS-like approach) to explore nodes level by level, making it closely related to BFS.
4. Greedy Algorithms (D):
Greedy Algorithms make a series of decisions by choosing the option that looks best at each step. They are not necessarily based on BFS. While Prim's and Dijkstra's algorithms can be classified as greedy, greedy algorithms in general do not inherently follow the BFS strategy.
5. Dynamic Programming (E):
Dynamic Programming (DP) is a method for solving problems by breaking them down into simpler subproblems. It is not related to BFS. DP solves problems using the optimal substructure and overlapping subproblems properties, and its approach is distinct from BFS.
Information Booster:
1. Prim's Algorithm explores vertices level by level to form the MST, similar to BFS traversal.
2. Dijkstra’s Algorithm uses a greedy approach and can be implemented using BFS, though it involves using a priority queue for selecting the next node to explore.
3. Kruskal's Algorithm and Greedy Algorithms do not follow BFS principles.
4. Dynamic Programming works on optimizing recursive solutions and is unrelated to BFS.