IDDFS Algorithm in AI Iterative Deepening Depth-First Search (IDDFS) is an uninformed search algorithm used in artificial intelligence and computer science to traverse or search a tree or graph. It is a hybrid strategy that combines the memory efficiency of Depth-First Search (DFS) with the completeness and optimality of Breadth-First Search (BFS). How IDDFS Works The core idea of IDDFS is to repeatedly perform a depth-limited DFS with a progressively increasing depth limit. The process can be broken down into these steps: Start with a Depth Limit of 0: The algorithm begins by performing a DFS on the root node with a depth limit of zero. It only checks if the root is the goal node. Increase the Depth Limit: If the goal is not found, the depth limit is increased by one. Repeat Depth-Limited Search: A new depth-limited DFS is then performed from the root, this time exploring all nodes up to the new depth limit. Iterate Until Found: This process of increasing the depth limit and...
Welcome to my blog channel! I'm Ajeet Kumar, a B.Tech CSE student with a passion for Artificial Intelligence, Machine Learning, and all things tech. Here, I share insights from my academic journey, tech tutorials, project ideas, coding tips, and student life experiences at GKCIET, Malda. Whether you're a fellow student, tech enthusiast, or just curious about the world of AI and ML, you'll find something valuable here. Join me as I explore the future of technology—one post at a time!