Homework Help is Here – Start Your Trial Now!
Engineering
Computer Engineering
Algorithm Table 1: Example of results summary (numbers are not realistic) Local Search (Best Improvement) Local Search with Random Restarts (k = 100) Local Search with Random walk (p = 0.25) etc. Iterations 3102 #Items Selected Weight Objective 49 97 117 9510 121 2102 བྲཧྨ 21 147 87 32 184 Knapsack Problem Definition Given n different items, where each item i has an assigned value (vi) and weight (w), select a combination of the items to maximize the total value without exceeding the weight limitations, W, of the knapsack. IMPORTANT!: When generating random problem instance set you must use the code provided and values: n = 150; max weight of 2500; and, use a seed value (for the random number generator) of 51132023. 1

Algorithm Table 1: Example of results summary (numbers are not realistic) Local Search (Best Improvement) Local Search with Random Restarts (k = 100) Local Search with Random walk (p = 0.25) etc. Iterations 3102 #Items Selected Weight Objective 49 97 117 9510 121 2102 བྲཧྨ 21 147 87 32 184 Knapsack Problem Definition Given n different items, where each item i has an assigned value (vi) and weight (w), select a combination of the items to maximize the total value without exceeding the weight limitations, W, of the knapsack. IMPORTANT!: When generating random problem instance set you must use the code provided and values: n = 150; max weight of 2500; and, use a seed value (for the random number generator) of 51132023. 1

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
See similar textbooks
icon
Related questions
Question
Table 1: Example of results summary (numbers are not realistic) Algorithm Iterations # Items Selected Weight Objective Local Search (Best Improvement) Local Search with Random Restarts (k = 100) Local Search with Random walk (p = 0.25) 3102 9510 49 97 117 121 21 147 2102 87 32 184 etc. Knapsack Problem Definition Given n different items, where each item i has an assigned value (v¿) and weight (w), select a combination of the items to maximize the total value without exceeding the weight limitations, W, of the knapsack. IMPORTANT!: When generating random problem instance set you must use the code provided and values: n = - 150; max weight of 2500; and, use a seed value (for the random number generator) of 51132023. 1
Transcribed Image Text:Table 1: Example of results summary (numbers are not realistic) Algorithm Iterations # Items Selected Weight Objective Local Search (Best Improvement) Local Search with Random Restarts (k = 100) Local Search with Random walk (p = 0.25) 3102 9510 49 97 117 121 21 147 2102 87 32 184 etc. Knapsack Problem Definition Given n different items, where each item i has an assigned value (v¿) and weight (w), select a combination of the items to maximize the total value without exceeding the weight limitations, W, of the knapsack. IMPORTANT!: When generating random problem instance set you must use the code provided and values: n = - 150; max weight of 2500; and, use a seed value (for the random number generator) of 51132023. 1
Modify the completed Python Local Search code to implement Hill Climbing with Random Restarts. You may use Best Improvement or First Improvement (just clearly state your choice). Make sure to include the following: Make the number of random restarts, k, an easily modifiable parameter. • Keep track of the best solution found across all of the restarts. (b) Report results for at least two different values of k. (c) Include relevant excerpts of commented Python code to implement the solution.
Transcribed Image Text:Modify the completed Python Local Search code to implement Hill Climbing with Random Restarts. You may use Best Improvement or First Improvement (just clearly state your choice). Make sure to include the following: Make the number of random restarts, k, an easily modifiable parameter. • Keep track of the best solution found across all of the restarts. (b) Report results for at least two different values of k. (c) Include relevant excerpts of commented Python code to implement the solution.
Expert Solution
steps

Step by step

Solved in 4 steps with 2 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY
SEE MORE TEXTBOOKS