Question – 5: Travelling Salesman Problem Define the travelling salesman problem and try to explain why it is not easy to find the optimal solution
Q: A company manufactures tables and chairs. Each table and chair must be made entirely out of oak or…
A: The solution for the above given question is given below:
Q: Consider the following LP and its optimal tableau: max z = 3x1 + 2x2s.t. 2x1 + 5x2 ≤ 8 3x1 + 7x2 ≤…
A: Answer is given below .
Q: Two investments with varying cash flows (in thousands of dollars) are available, as shown in the…
A: Answer is given below .
Q: Why LP has only a finite number of basic feasible solutions?
A: Ans-: In the theоry оf lineаr рrоgrаmming, а bаsiс feаsible sоlutiоn (BFS) is а…
Q: A book salesperson living in New York needs to visit clients in Utah, Jersey, LA, and Milan within a…
A: Branch and bound is an algorithm design paradigm which is generally used for solving combinatorial…
Q: Please explain! Dynamic Programming can be used to solve numerous real-life optimization problems.…
A: The above question is solved in step 2 :-
Q: 5. Solve this given problem using Uniform Cost search. A is the initial state and G is the goal…
A: In this python program we have to start with the Uniform Cost Search. Write a program to solve the…
Q: This question is about the problem “Making Change". In the Republik Question 3 Unsaved k, the only…
A: Answer: our guidelines is answer the first three question from the first question.
Q: It is unclear why each LP has an optimal fundamental feasible solution.
A: An optimal solution to a linear program is the solution which satisfies all constraints with maximum…
Q: Given the death percentage during a Covid Pandemic where data has been taken for 8 days. Days 1…
A: There are 8 number days:- Then, representing each of the day numbers requires log 8 = 3 bits in the…
Q: Solve the following optimization problems using Gurobi and clearly present the optimal objective…
A: Solve the following optimization problems using Gurobi and clearly present the optimal objective…
Q: 1. Following is the Annual Development Program (ADP) data of for a Country Financial Year Amount in…
A: Huffman's algorithm 1.traverse tree formed starting from the root. 2.maintain an Auxilary array…
Q: b) Consider the following linear programming problem: Min z = x1 + x2 s.t. 3x1 – 2x2 <5 X1 + x2 < 3…
A: Solve linear programming question Find out optimal solutions
Q: Construct a table of optimal Huffman code based on Table 1
A: Huffman coding is used for the file compression. In this optimal Huffman code, the total number of…
Q: Given the data for a transportation problem in table below; i. Use the North West Corner method to…
A:
Q: Suppose that there are four items available which can be put into a knapsack that has a capacity of…
A: Answer: C++ Source Code: #include <bits/stdc++.h>using namespace std; struct items { int…
Q: b) Find minimum cost from A to H using UCS from following graph. 13 B A D 7 5 F 5 E 6. 4 G 45
A: Find minimum cost from A TO H using UCS from a given graph
Q: Solve the following LP optimization problem using the simplex method: maximize 40x + 30 subject to x…
A: Below is the complete solution with explanation in detail for the given question.
Q: Bellman-Ford Algorithm: Apply the following algorithm in the given structure to find the optimal…
A: The given graph is:- The algorithm asked to use is Bellman-Ford algorithm.
Q: Solve the following equality-constrained optimiza- tion problem using Newton descent algorithm with…
A: CODE from math import exp # USING CONSTRAINT 1 # x = 1 + 5z # USING CONSTRAINT 2 # y = 4 - z #…
Q: 3- Get the optimal rote by dynamic programming. B 2.
A: This problem can be solved by using travelling sales man problem travelling sales man problem A…
Q: “Half-Manhattan distance” heuristic is equal to the Manhattan distance divided by two. explain how…
A: It is defined as a technique that is used to solve a problem faster than the classic methods. These…
Q: (b) State the job sequencing with deadlines problem. Find an optimal sequence for n = 5 jobs where…
A: Let n=5, {P1, P2, P3, P4, P 5} = {20, 15, 10, 5, 3} & {d1, d2, d3, d4, d5} = {2, 2, 1, 3, 3}…
Q: a) Consider the following instance of knapsack problem where…
A: The basic idea of the greedy approach is to calculate the ratio value/weight for each item and sort…
Q: Why is it that each LP with an optimum solution also has an optimal fundamental viable solution to…
A: This question describes about the each LP with an optimum solution also has an optimal fundamental…
Q: Given the objective function 2x1+5x2 that needs to be maximized and the graphical solution shown…
A: According to the information given:- we have to define optimal value of the objective function on…
Q: optimization
A: Maximize profit by setting prices to extract maximal surplus. In symbols, this is Max (p - c)*q…
Q: 1) Solve the given travelling salesman problem to minimize the cost of travelling. To A B C D E A 10…
A: Travelling salesman problem using diagonal completion method (MIN case)
Q: Use the Simplex approach to solve the following LP problem: Maximize z = 3…
A: Given Maximize z = 3 X1 + X2 Subject to: 2…
Q: uaranteed to find an optimal solution
A:
Q: It is unclear why any LP with an optimal solution also has an optimal basic viable solution.
A: LP with an Optimal Solution: The viable option with the highest objective function value is the…
Q: PP. Solve by backward recursive equation defining its stages in order to find the optimal…
A:
Q: Show that the dual of the max flow problem has always an integer optimal solution.
A: The maximum flow issue can be expressed as follows: Given a network G = (N, A) and two nodes s…
Q: Apply A* algorithm (on Figure 1 attached below) to find the Optimal Distance from Delhi to Vijayawad
A: A* Algorithm: Place the starting node in the OPEN list. Check if the OPEN list is empty or not, if…
Q: 4) Optimal Control: Non-Quadratic Cost Function. Find the optimal path, x(t), to minize the…
A: Given: The cost function is: J=∫05x4+5u2 dt subject to the constraint: x˙=0.2x+ux0=6x5=4
Q: Usingthe following coindenominationsas an example: 1, 5, 20 and23, explain whythegreedy solution for…
A: Answer : Yes , for non - canonical coin it will not provide a correct answer.
Q: The reason why each LP with an optimum solution also has an optimal basic viable solution is not…
A: Introduction: The value of the objective function is well-defined in a favorable solution to an LP…
Q: Problem: Solve the following equality-constrained optimiza- tion problem using Newton descent…
A: Solution: Python Program : from math import exp # USING CONSTRAINT 1 # x= 1+5 z #USING CONSTRAINT 2…
Q: Your employer is trying to select from a list of possible capital projects. The projects, along with…
A: The process by which a business evaluates possible big projects or investments is known as capital…
Q: The following LP formulation represents a transportation problem where raw material (in tons) from…
A: Given;
Q: Using the following coin denominations as an example: 1, 5, 20 and 23, explain why the greedy…
A: This problem is solved using dynamic programming. Why greedy is not an optimal approach to solve the…
Q: PROBLEM #2: Formulate a Shortest Route problem that has 12 nodes, 22 edges and two alternative…
A: Аlgоrithm 1) Сreаte а set sрtSet (shоrtest раth tree set) thаt keeрs trасk оf vertiсes…
Q: Traveling Salesman Problem Knapsack Problem Assignment Problem Given a cities with known distances…
A:
Q: (b) State the job sequencing with deadlines problem. Find an optimal sequence for n 5 jobs where…
A: Given: n= 5 Profit (p1,p2,p3,p4,p5) = {20,15,10,5,1} deadline(d1,d2,d3,d4,d5) = {2,2,1,3,3} Arrange…
q5
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
- Please provide the optimal policy. If there is a tie, always choose the state with the smallest indexCan someone give an example/explanation of reading the optimal substructure from given code? I.e you're given a bit of code and then you have to determine what the optimal substructure is.Isn't the actual optimal S->B->G. If yes, then how are the assumed heuristics valid?
- If an optimal solution to a problem can be obtained by greedy, It can also be obtained by dynamic programming. True or False?Calculate the optimal path from g to a using A* algorithm (as heuristic function, use the provided table)Q 2: f(n) = g(n) + h(n). Discuss which thing should be optimal, underestimated, overestimated, admissible or non-admissible. What will happen if you make it monotonic? Give the example case to preserve its admissibility?
- A mathematical model that solely gives a representation of the real problem is the only one for which an optimal solution is optimal. True False: OWhat is the principal of optimality ? Explain it's significanceIf you have a column of cash flows from years 0 to n and you wish to calculate the present worth of the cash flows. You could use the following EXCEL function(s) for solving the problem with an excel spread sheet: None of the above Maximize EUAB Maximize NPW Maximize (EUAB - EUAC) Maximize PW of Benefits
- Demand of product A varies with the price as guided by the following equation. Demand = -1.5 * price + 25 Moreover, sale of product A leads to sale of another product B of the same company. Additional data is as given below. Unit cost of A (Rs.) 3 Number of units of B with one A 20 Profit from sale of one unit of B (Rs.) 0.85 Develop the optimization model for pricing of A to maximize total profit earned and find the optimal price.Suppose the risk index for the stock fund (the value of ) increases from its current value of 8 to 12. How does the optimal solution change, if at all? Suppose the risk index for the money market fund (the value of ) increases from its current value of 3 to 3.5. How does the optimal solution change, if at all? Suppose increases to 12 and increases to 3.5. How does the optimal solution change, if at all?If it is possible to create an optimal solution for a problem by constructing optimal solutions for its subproblems, then the problem possesses the corresponding property. a) Subproblems which overlap b) Optimal substructure c) Memorization d) Greedy