t for several problems you will modify some provided Python code to implement algorithmsto solve the same instance of the knapsack problem. After implementing all of the code and solving theproblem, you must provide a single table of all results similar to the following:Table 1: Example of results summary (numbers are not realistic)AlgorithmIterations Items Selected Weight ObjectiveLocal Search (Best Improvement)31024997117Local Search with Random Restarts (k = 100)Local Search with Random walk (p = 0.25)95101212114721028732184etc.Knapsack Problem Definition Given n different items, where each item i has an assigned value (v.) andweight (w), select a combination of the items to maximize the total value without exceeding the weightlimitations, 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. 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 toinclude 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.Apply the technique to the random problem instance and determine the best solutionand objective value using your algorithm.

In this question we have to solve a knapsack problem using different local search strategies in…

Answered: t for several problems you will modify…

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...

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t for several problems you will modify some provided Python code to implement algorithms to solve the same instance of the knapsack problem. After implementing all of the code and solving the problem, you must provide a single table of all results similar to the following: Table 1: Example of results summary (numbers are not realistic) Algorithm Iterations Items Selected Weight Objective Local Search (Best Improvement) 3102 49 97 117 Local Search with Random Restarts (k = 100) Local Search with Random walk (p = 0.25) 9510 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) Complete the algorithm below and test it,Give its time complexity as well public class BubbleSort { public static void bubbleSort(int a[], int size) { int outer, inner, temp; for (outer = size - 1; outer > 0; outer--) { // counting down for (inner = 0; inner < outer; inner++) { // bubbling up } } } }
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I need the code from start to end with no errors and the explanation for the code ObjectivesJava refresher (including file I/O)Use recursionDescriptionFor this project, you get to write a maze solver. A maze is a two dimensional array of chars. Walls are represented as '#'s and ' ' are empty squares. The maze entrance is always in the first row, second column (and will always be an empty square). There will be zero or more exits along the outside perimeter. To be considered an exit, it must be reachable from the entrance. The entrance is not an exit.Here are some example mazes:mazeA7 9# # ###### # # ## # # #### # ## ##### ## ########## RequirementsWrite a MazeSolver class in Java. This program needs to prompt the user for a maze filename and then explore the maze. Display how many exits were found and the positions (not indices) of the valid exits. Your program can display the valid exits found in any order. See the examples below for exact output requirements. Also, record…
The following code is implementing a Treasure map use the A* algorithm to find the shortest path between two points in a map. It appears that the initial compare looks at the f_cost and decides that we are at the point in the map and exits the routine and prints only the starting point. I'm not sure how to fix it, any help would get appreciated. Example of the output from the following Python program: start place = (0, 0) Treasure location: (29, 86) Path to treasure:(0, 0) Python Code: import heapqimport random class Tile: def __init__(self, x, y): self.x = x self.y = y self.is_obstacle = False self.g_cost = 0 self.h_cost = 0 self.f_cost = 0 self.parent = None # Define comparison methods for Tile objects based on their f_cost def __lt__(self, other): return self.f_cost < other.f_cost def __eq__(self, other): return self.f_cost == other.f_cost class Map: def __init__(self, width, height):…
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JAVA: Which is/are correct statement(s) about the Recursion? (Select all that apply) We can use for loop and while loop in recursion. We solve a problem that depends on solving smaller occurrences of the same problem. We have high performance while using recursion rather than iteration. We have high performance while using iteration rather than recursion. Easy to implement the algorithm while using recursion but hard to find the time complexity. Easy to implement the algorithm while using iteration but hard to find the time complexity. Base case is a simple occurrence that cannot be answered directly. Recursive case is a more complex occurrence of the problem that cannot be directly answered, but can instead be described in terms of smaller occurrences of the same problem. We must have exact one base case and one recursive case. We must have at least one base case. We must have at least one recursive case.

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