Question
Consider the following graph. The numbers written on edges represents the distance between the nodes and the numbers written on nodes represents the heuristic value. Find the most cost- effective path to reach from Noda A to node J using A* Algorithm.
Answer :
Word Count : 735
To solve the problem of finding the most cost-effective path from Node A to Node J using the A* algorithm, we need to follow these steps: ### 1. Understand the A* Algorithm The A* algorithm is a pathfinding algorithm that finds the shortest path from a start node to a goal node. It uses a heuristic function to estimate the cost from the current node to the goal, which helps in making informed decisions about which path to explore next. ### 2. Define the Heuristic Function The heuristic function \( h(n) \) estimates the cost from node \( n \) to the goal node \( J \). The heuristic values are typically provided for each node. In this case, the heuristic values are given as numbers on the nodes. ### 3. Define the Cost Function The cost function \( g(n) \) represents the cost from the start ____ _________ _________ ____ ________ ______ __________.
_____ _____ _________ _____ ___ ____ ____ ________ _______ ______ _________ ___.
_____ ___ ________ _______ ________ __________.
___ ________ _________ __________ __________ _________ ______ ________ ___ _______ _____.
_____ _________ __________ _______ _______.
______ ___ ___ ________ _______.
______ ___ _______ ___ ___ _______ ________ _____ __________ _______ __________.
_________ ________ _______ __________ _________ ______ _________ _______ _________.
_______ _________ ________ ________ ________ ______ _________ ___ __________ _________ ______ ________.
_________ ___ ______ ________ ____ ____ ______ ________ __________ __________ ______ ____.
____ __________ _______ _____ __________ ______ ______ _____ __________ _______ _________.
______ ______ ______ _____ ____.
________ _______ ________ _____ ___ ____ _______ _______ _________ ___ _______.
________ __________ ____ ___ _______.
________ ________ __________ _________ ________ ___ _________.
_________ _____ ___ _______ ___ _________ _______ _______ __________.
________ __________ _________ _________ ___.
____ ____ ______ ________ _____ ___ ___ ________ ___ ______ ______ __________.
_______ __________ ______ ______ _________ ___ ______ _____.
_______ ___ _______ _____ __________ _________ ________ _________ __________.
________ ________ __________ _____ ___ __________ ________.
___ ___ ___ _________ ____ ________.
________ _______ _______ _______ __________ ___.
__________ _______ ________ ________ ________ ______ __________.
________ __________ _______ _______ ________.
______ __________ ________ _______ _________ _______ ____ ____ ________ ________ ____ _______.
_______ ____ ________ ____ __________ ______ __________ ___ _________ _________ ______ ____.
______ _________ _____ _______ ____ ________.
_____ ___ _______ ________ _______ ___ _______ _______ ____ _________ _______.
____ ____ _____ _____ _________ _________ ____ _______ _______.
___ _________ _________ _____ _____ ________ ____ ___ ________.
_____ ______ ____ _____ _________ _____ ______ ________ ____ __________ _________.
___ _______ _____ ________ _________ ______ _____ ___.
_____ ________ _________ _______ _________ _________ _____ __________ _______.
___ _______ __________ _________ __________ ______ __________.
________ ___ _____ __________ _________ ________ ______ __________.
__________ __________ ______ _________ ______ __________.
_____ ______ _________ _________ __________.
_______ _________ ______ _______ _______ _________ _________.
__________ _____ ______ ___ ___ _______ __________ _____ ____ ___.
____ ________ _________ _________ ___ _______ _________ ___.
___ _________ ____ _________ ___ ______ ________ __________.
________ _____ _____ __________ _____ ___.
_____ ______ ______ ___ _________ _________ ________.
___ ______ __________ __________ _______ ________ _____.
_______ _____ ______ ________ __________ _____ ________ _________ _______.
____ ________ _______ ____ _______ _______ _____ ____ _____ _____ ___ __________.
_____ _____ _______ ________ _________ _________ ______ ____ ________ ___ _____ ___.
______ ______ ______ ______ ______ _____.
_______ ________ _____ ____ _____ __________ _________ _______ _______.
_______ ____ ________ _____ _______ _____ _____ __________ ______ ____.
___ ____ ______ ___ ________ _____ ____ _________ ___ _____.
_____ _____ ______ ______ ________.
________ _________ ______ ______ _____ ____ ________ ______ __________.
________ ____ ___ ____ __________ _________ _______ _______ _________.
______ ____ ______ _________ _________ __________.
______ ___ __________ ____ _____ _______ ________ ______ _________ _______.
____ ______ ______ ___ _________ ________ _______ _________.
__________ ______ ___ _________ __________ _______ ________ __________ ________ __________.
_______ ___ __________ ___ ____.
___ ____ _______ _____ _____ __________ _______ _______ ________ ____ _______.
___ _____ ___ __________ _______ ________ ____ ________.
___ _______ _____ _____ ______ ___ ___ __________ ______ __________ ____.
_____ ______ _________ __________ __________ ________ ________ ____ ____.
________ ___ _______ _____ _______ ________ _____.
________ ___ _________ _____ _____ ___ __________ __________.
________ ________ _________ ___ ______.
____ _______ _____ ___ _____ ___ _____ ________ ____ _________ ______ ______.
____ ___ _______ __________ ________ ________ _______ _____ ___ ____ _________ _________.
____ _____ ______ _____ _____ ________.
Get Full Answer on WhatsApp
To solve the problem of finding the most cost-effective path from Node A to Node J using the A* algorithm, we need to follow these steps: ### 1. Understand the A* Algorithm The A* algorithm is a pathfinding algorithm that finds the shortest path from a start node to a goal node. It uses a heuristic function to estimate the cost from the current node to the goal, which helps in making informed decisions about which path to explore next. ### 2. Define the Heuristic Function The heuristic function \( h(n) \) estimates the cost from node \( n \) to the goal node \( J \). The heuristic values are typically provided for each node. In this case, the heuristic values are given as numbers on the nodes. ### 3. Define the Cost Function The cost function \( g(n) \) represents the cost from the start ____ _________ _________ ____ ________ ______ __________.
_____ _____ _________ _____ ___ ____ ____ ________ _______ ______ _________ ___.
_____ ___ ________ _______ ________ __________.
___ ________ _________ __________ __________ _________ ______ ________ ___ _______ _____.
_____ _________ __________ _______ _______.
______ ___ ___ ________ _______.
______ ___ _______ ___ ___ _______ ________ _____ __________ _______ __________.
_________ ________ _______ __________ _________ ______ _________ _______ _________.
_______ _________ ________ ________ ________ ______ _________ ___ __________ _________ ______ ________.
_________ ___ ______ ________ ____ ____ ______ ________ __________ __________ ______ ____.
____ __________ _______ _____ __________ ______ ______ _____ __________ _______ _________.
______ ______ ______ _____ ____.
________ _______ ________ _____ ___ ____ _______ _______ _________ ___ _______.
________ __________ ____ ___ _______.
________ ________ __________ _________ ________ ___ _________.
_________ _____ ___ _______ ___ _________ _______ _______ __________.
________ __________ _________ _________ ___.
____ ____ ______ ________ _____ ___ ___ ________ ___ ______ ______ __________.
_______ __________ ______ ______ _________ ___ ______ _____.
_______ ___ _______ _____ __________ _________ ________ _________ __________.
________ ________ __________ _____ ___ __________ ________.
___ ___ ___ _________ ____ ________.
________ _______ _______ _______ __________ ___.
__________ _______ ________ ________ ________ ______ __________.
________ __________ _______ _______ ________.
______ __________ ________ _______ _________ _______ ____ ____ ________ ________ ____ _______.
_______ ____ ________ ____ __________ ______ __________ ___ _________ _________ ______ ____.
______ _________ _____ _______ ____ ________.
_____ ___ _______ ________ _______ ___ _______ _______ ____ _________ _______.
____ ____ _____ _____ _________ _________ ____ _______ _______.
___ _________ _________ _____ _____ ________ ____ ___ ________.
_____ ______ ____ _____ _________ _____ ______ ________ ____ __________ _________.
___ _______ _____ ________ _________ ______ _____ ___.
_____ ________ _________ _______ _________ _________ _____ __________ _______.
___ _______ __________ _________ __________ ______ __________.
________ ___ _____ __________ _________ ________ ______ __________.
__________ __________ ______ _________ ______ __________.
_____ ______ _________ _________ __________.
_______ _________ ______ _______ _______ _________ _________.
__________ _____ ______ ___ ___ _______ __________ _____ ____ ___.
____ ________ _________ _________ ___ _______ _________ ___.
___ _________ ____ _________ ___ ______ ________ __________.
________ _____ _____ __________ _____ ___.
_____ ______ ______ ___ _________ _________ ________.
___ ______ __________ __________ _______ ________ _____.
_______ _____ ______ ________ __________ _____ ________ _________ _______.
____ ________ _______ ____ _______ _______ _____ ____ _____ _____ ___ __________.
_____ _____ _______ ________ _________ _________ ______ ____ ________ ___ _____ ___.
______ ______ ______ ______ ______ _____.
_______ ________ _____ ____ _____ __________ _________ _______ _______.
_______ ____ ________ _____ _______ _____ _____ __________ ______ ____.
___ ____ ______ ___ ________ _____ ____ _________ ___ _____.
_____ _____ ______ ______ ________.
________ _________ ______ ______ _____ ____ ________ ______ __________.
________ ____ ___ ____ __________ _________ _______ _______ _________.
______ ____ ______ _________ _________ __________.
______ ___ __________ ____ _____ _______ ________ ______ _________ _______.
____ ______ ______ ___ _________ ________ _______ _________.
__________ ______ ___ _________ __________ _______ ________ __________ ________ __________.
_______ ___ __________ ___ ____.
___ ____ _______ _____ _____ __________ _______ _______ ________ ____ _______.
___ _____ ___ __________ _______ ________ ____ ________.
___ _______ _____ _____ ______ ___ ___ __________ ______ __________ ____.
_____ ______ _________ __________ __________ ________ ________ ____ ____.
________ ___ _______ _____ _______ ________ _____.
________ ___ _________ _____ _____ ___ __________ __________.
________ ________ _________ ___ ______.
____ _______ _____ ___ _____ ___ _____ ________ ____ _________ ______ ______.
____ ___ _______ __________ ________ ________ _______ _____ ___ ____ _________ _________.
____ _____ ______ _____ _____ ________.
Get Full Answer on WhatsApp
IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★