Concept explainers
Heuristic system:
The heuristic system considers all the immediate possible conditions that may lead to a solution to the problem. The system proceeds in the same manner until all the possible conditions are achieved. The heuristic system may require a large amount of work but ultimately it approaches towards a solution. The solution is one of the conditions achieved at the last. The conditions achieved at last may be in large numbers. It guarantees to have a solution among many conditions achieved in the end.
Best fit
To eliminate irrelevant moves, the tiles that are out of place should always be adjacent to the hole. The tiles that are already in place should not be moved. The best fit algorithm eliminates the moves having a higher cost but only for proceeding moves. This algorithm does not consider overall cost associated with a path.
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Computer Science: An Overview (13th Edition) (What's New in Computer Science)
- A weighted, directed graph is a suitable representation to represent the daily airline routes flown by a small airline. The airline have the following daily flights: - Three flights from Cape Town to Johannesburg, - Two flights from Johannesburg to Cape Town. - Four flights from Johannesburg to Durban. - Three flights from Durban to Johannesburg. - One flight from Johannesburg to George. - One flight from George to Johannesburg.Draw the graph and answer the questions that follow. The graph that represents this problem is connected. A. True B. Falsearrow_forwardWrite a program (WAP) to create an undirected graph using adjacency matrix representation.Number of nodes and edges should be taken from the user. After creating the graph, performfollowing operations: (i) Search a node. Take the node number from the user. If the node is found then print its associatededges.(ii) Insert a node in the graph.(iii) Insert an edge in the graph. Take the node numbers from the user between which the edge is tobe inserted.(iv) Delete a node from the graph. Take the node number to be deleted from the user.(v) Apply DFS on the graph and print the graph traversal.(vi) Apply BFS on the graph and print the graph traversal.Solve the above problem using adjacency list representation.arrow_forwardQ5/ Consider the following search space in which the goal is to find the p from S to G, next(S,A,5), next(S,B,2),next(A,G,5), next (B,D,1), next(B,C,2), next (C,G,2), next(D,G,5), where next(X,Y,Z) means that Y is a child of X and the cost of going from X to Y is Z. ho(S)=0, ho(A)=0, ho(B)=0, ho(C)=0, ho(D)=0, ho(G)=0, h₁(S)-5, h₁(A)=3, h₁(B)=4, h₁(C)=2, h₁(D)=5, h₁(G)=0, h₂(S)=6, h₂(A)=5, h₂(B)=2, h₂(C)=5, h₂(D)=3, h₂(G)=0, A. Which of the above heuristic functions ho,h1 and h2 are admissible? Give the solution of the longest path found by the A algorithm using the admissible heuristic function.arrow_forward
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- Given an abstraction of the City Tube Map where each node represents the city’s attraction, plan the trip for the tourist to visit. Start from node 1 that is their hotel, a group of tourists wants to visit all places. However, due to the time limitation, they can only visit each attraction once. To find the best order of places to visit, genetic algorithm can be used to derive the best possible solutions.arrow_forwardQ5/ Consider the following search space in which the goal is to find the p from S to G, next(S,A,5), next(S,B,2),next(A,G,5), next (B,D,1), next(B,C,2), next (C,G,2), next(D,G,5), where next(X,Y,Z) means that Y is a child of X and the cost of going from X to Y is Z. ho(S)=0, ho(A)=0, ho(B)=0, ho(C)=0, ho(D)=0, ho(G)=0, h₁(S)-5, h₁(A)=3, h₁(B)=4, h₁(C)=2, h₁ (D)=5, h₁(G)=0, h₂(S)-6, h₂(A)=5, h₂(B)=2, h₂(C)=5, h₂(D)=3, h₂(G)=0, - Which of the above heuristic functions ho,h1 and h2 are admissible? - Give the solution of the longest path found by the A algorithm using the admissible heuristic function. Note: showe the solution using paper pleasearrow_forwardYou are given a 2 by n grid, where the cell on row i column j contains a non-negative number ai,j . You can start at either cell in the lefttmost column, and your goal is to reach either cell in the rightmost column by a sequence of moves. You can move to an adjacent cell (if it exists) in each of the 4 cardinal directions (up,down, left and right). A path achieves a score equal to the sum of values in its cells. Note that a cell which is used twice in a path only counts its value once to the score of that path.Design an algorithm which runs in O(n) time and finds a path of minimum score from the leftmost column to the rightmost column.arrow_forward
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