Consider the following instance of the Travelling Salesman Problem: A В 22 8. 12 6. 10 E 23 11 26 17 Highlighted in bold is the following route of length 62: A → C → B –→ E → D → A Apply the 2-opt algorithm until you reach a local minimum. How many applications of the 2-opt swap rule are required until you reach a local minimum. Select ONE correct answer А. 1 В. 2 С. 3 D. 4 E. 5 or more

Consider the following instance of the Travelling Salesman Problem: A В 22 8. 12 6. 10 E 23 11 26 17 Highlighted in bold is the following route of length 62: A → C → B –→ E → D → A Apply the 2-opt algorithm until you reach a local minimum. How many applications of the 2-opt swap rule are required until you reach a local minimum. Select ONE correct answer А. 1 В. 2 С. 3 D. 4 E. 5 or more

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Consider a lengthy rural road (which can be considered to be a line segment with an eastern endpoint and a western endpoint). Along the road, residences are thinly spaced. Your challenge is to decide where to locate mobile phone base stations along the road in such a way that the total number of base stations is minimised and each residence is within four miles of a base station. Now, provide an efficient solution to this issue. Nota bene: you must demonstrate that your algorithm is valid.
Consider a set of movies M1, M2, ... , Mk. There is a set of customers, each one of which indicates the two movies they would like to see this weekend. Movies are shown on Saturday evening and Sunday evening. Multiple movies may be screened at the same time. You must decide which movies should be televised on Saturday and which on Sunday, so that every customer gets to see the two movies they desire. Is there a schedule where each movie is shown at most once? Design an efficient algorithm to find such a schedule if one exists.
6. Consider a binary classification problem using 1-nearest neighbors with the Euclidean distance metric. We have N 1-dimensional training points x(1), x(2), . . . x(N ) and corresponding labelsy(1), y(2), . . . y(N ) with x(i ) ∈ R and y(i ) ∈ {0, 1}. Assume the points x(1), x(2), . . . x(N ) are in ascending order by value. If there are ties during the 1-NN algorithm, we break ties by choosing the labelcorresponding to the x(i ) with lower value.
Consider a Diffie-Hellman scheme with a common prime q = 17 and a primitive root α = 3. a) If user A has a private key XA=4, what is A’s public key, YA? b) A sends YA to B. If B has a private key XB=6, what is the shared secret key, K that B can calculate and share with A? c) If B computes YB and sends it to A, what is the shared secret Key, K computed by A?
A tourist representative problem has the following questions: “Given a list of cities and the distances between each pair countries. What is the shortest possible route that visits each country exactly once and returns to the origin country? What is the possible route if the Greedy Algorithm is used? The table below lists down the distances (kilometers) between countries having direct routes as well as the corresponding distances between them. Show your graph and solutions. Manila Hongkong Sydney London New York Los Angeles California Manila - 1116 6260 10760 11740 13700 Hongkong 1116 - 7400 9646 12960 11656 Sydney 6260 7400 - 17020 16020 12078 London 10760 9646 17020 - 5585 8760 New York 11740 12960 16020 5585 - 3944 Los Angeles California 13700 11656 12078 8760 3944 -
A fast computer is used to break a ciphertext (A) using columnar transposition cipher that needs 150attempts, the speed of processor is 4 MIPS (million instructions per second), and each attempt needs5 instructions. Another computer of speed 3 MIPS is used to break ciphertext (B) using Caesar Cipherthat needs 110 attempts, and each attempt needs 4 instructions for ciphertext (B). Determine whichciphertext will be broken first (consider the worst case, i.e. the last attempt is the successful one),write your answer in details?
Consider the use of a genetic algorithm on this 0-1 Knapsack Problem W = 19 P1 = 20, w1 = 2 P2 = 30, w2 = 6 P3 = 36, w2 = 9 P4 = 16, w3 = 8 If an individual in the population is given the string: "0,1,0,1" then the measure of fitness would be?
Which type of best first search algorithm was used to predict the closeness of the end of path and its solution? a) Greedy BFS b) Divide and Conquer c) Heuristic BFS d) Combinatorial
Computer's science Algorithms Explain the job sequencing with deadline algorithm and also find the solution for the instance n = 7 , (P 1, P2 ,....P7 )=(3, 5, 20, 18, 1, 6, 30) and (D₁, D₂, ..... D7) = (1, 3, 4, 3, 2, 1, 2).
Consider the traveling salesman problem where he needs to pass through 7 cities. We will use a genetic algorithm to find the best solution to this problem. For this case perform a crossover process with two parent chromosomes representing the possible routes for a salesman to visit 7 cities: Parent 1: C1-C2-C3-C4-C5-C6-C7 Parent 2: C7-C6-C5-C4-C3-C2-C1 Performing crossover using specific point as crossover point. Suppose that crossover point is between cities C4 and C5. What are the two possible offsprings for this case?
the closest-pair problem can be posted in the 3-dimensional space, in which the euclidean distance between two points p1(x1, y1, z1) and p2(x2, y2, z2) is defined as d = √(x1−x2)^2+(y1−y2)^2+(z1−z2)^2 what is the time-efficiency class of the brute-force algorithm for the 3-dimensional closest-pair problem?
You will analyze three algorithms to solve the maximum contiguous subsequence sum problem, and then evaluate the performance of instructor-supplied implementations of those three algorithms. You will compare your theoretical results to your actual results in a written report. What is the maximum contiguous subsequence sum problem? Given a sequence of integers A1, A2, ..., An (where the integers may be positive or negative), find a subsequence Aj, ... , Ak that has the maximum value of all possible subsequences. The maximum contiguous subsequence sum is defined to be zero if all of the integers in the sequence are negative. Consider the sequence shown below. A1: -2 A2: 11 A3: -4 A4: 13 A5: -5 A6: 2 The maximum contiguous subsequence sum is 20, representing the contiguous subsequence in positions 2, 3, and 4 (i.e. 11 + (-4) + 13 = 20). The sum of the values in all other contiguous subsequences is less than or equal to 20. Consider a second sequence, shown below. A1: 1…