Heuristic system: The heuristic system considers all the immediate possible conditions that may lead to a solution for 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 algorithm : 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 the overall cost associated with a path.

Question

Want to see the full answer?

Answer 1

Question

Chapter 11.3, Problem 9QE

Program Plan Intro

Heuristic system:

The heuristic system considers all the immediate possible conditions that may lead to a solution for 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 algorithm:

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 the overall cost associated with a path.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

Using A* Search, show the process of identifying the correct path from the start node (A) to end node (M). Heuristic Values State Value A 0 B 3 C 6 D 5 E 1 F 3 G 2 H 4 I 3 J 2 K 1 L 2 M 1

Algorithm design with sorting. Each of n users spends some time on a social media site. For each i = 1, . . . , n, user i enters the site at time ai and leaves at time bi ≥ ai. You are interested in the question: how many distinct pairs of users are ever on the site at the same time? (Here, the pair (i, j) is the same as the pair (j, i)).Example: Suppose there are 5 users with the following entering and leaving times: Then, the number of distinct pairs of users who are on the site at the same time is five: these pairs are (1, 2), (1, 3), (2, 3), (4, 6), (5, 6). (Drawing the intervals on a number line may make this easier to see).(a) Given input (a1 , b1),(a2 , b2), . . . ,(an, bn) as above in no particular order (i.e., not sorted in any way), describe a straightforward algorithm that takes Θ(n2)-time to compute the number of pairs of users who are ever on the site at the same time, and explain why it takes Θ(n2)-time. [We are expecting pseudocode and a brief justification for its…

*, This is a search problem where A is the start state. The costs of transitions are placed on the edges, but the heuristic estimated value, h, is in the state's node. Assume ties are always broken by choosing the state which comes first alphabetically. State h(state) A 4 4 3 F 1. E [Note!!! When you write the order of the node use gre Capital Letter and a comma to separate between them. Do not use space. For example: A,B,C,D] 1. If the root is state A, Which state represents the goal state? 2. Determine the lower and upper bound for the heuristic value of B, h(B), to make the h admissible?