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Q3: Consider that we have a Vacuum-cleaner machine robot that can move left, right, up, down only, and it does the suck if the square is dirty, the Vacuum-cleaner robot never back to visited square. ● ● 9 Start 28 26 4 Goal Build a complete Search tree Solve the search problem by using Greedy search algorithm if the heuristic function is Manhattan distance Solve the search problem by using A* if the real cost is R(n) = # of dirty palaces * # of moves Propose 5 chromosomes as an initial population from the basics of the problem, and apply GAs if the fitness is the # of dirty palaces, use 1 element random crossover, and lelemnt random mutation, Perform the solution for 1 iteration

Q3: Consider that we have a Vacuum-cleaner machine robot that can move left, right, up, down only, and it does the suck if the square is dirty, the Vacuum-cleaner robot never back to visited square. ● ● 9 Start 28 26 4 Goal Build a complete Search tree Solve the search problem by using Greedy search algorithm if the heuristic function is Manhattan distance Solve the search problem by using A* if the real cost is R(n) = # of dirty palaces * # of moves Propose 5 chromosomes as an initial population from the basics of the problem, and apply GAs if the fitness is the # of dirty palaces, use 1 element random crossover, and lelemnt random mutation, Perform the solution for 1 iteration

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...
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Q3: Consider that we have a Vacuum-cleaner machine robot that can move left, right, up, down only, and it does the suck if the square is dirty, the Vacuum-cleaner robot never back to visited square. Start Goal Build a complete Search tree Solve the search problem by using Greedy search algorithm if the heuristic function is Manhattan distance Solve the search problem by using A* if the real cost is R(n) = # of dirty palaces * # of moves • Propose 5 chromosomes as an initial population from the basics of the problem, and apply GAs if the fitness is the # of dirty palaces, use 1 element random crossover, and lelemnt random mutation, Perform the solution for 1 iteration
Transcribed Image Text:Q3: Consider that we have a Vacuum-cleaner machine robot that can move left, right, up, down only, and it does the suck if the square is dirty, the Vacuum-cleaner robot never back to visited square. Start Goal Build a complete Search tree Solve the search problem by using Greedy search algorithm if the heuristic function is Manhattan distance Solve the search problem by using A* if the real cost is R(n) = # of dirty palaces * # of moves • Propose 5 chromosomes as an initial population from the basics of the problem, and apply GAs if the fitness is the # of dirty palaces, use 1 element random crossover, and lelemnt random mutation, Perform the solution for 1 iteration
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