that you are asked to write a pseudocode of a genetic algorithm to find an optimal road for a new Amazon delivery truck driver who is also new in town. He departs from Amazon warehouse and has to go through n houses by the end of his day (h1,h2,…,hn). Given that we know the distance between these houses (called dij = distance(hi, hj), and dsi = distance(s,hi) with s being the Amazon warehouse. At the end of the day, the truck will go back to the warehouse s. So a typical road would look like: s -> h2 -> h1 -> h3 ….-> hn-1 -> hn -> S. Please use genetic algorithm with the above framework to write a pseudo code to find a road that minimize the distance that he needs to travel. In your pseudocode, please feel free to suggest the size of the initial population, the fitness function, choose how you do cross-over and mutation. You don’t have to implement this pseudo code but will be graded on the details you could provide so that people who are implementing it would find it easy to work on.

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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Assume that you are asked to write a pseudocode of a genetic algorithm to find an optimal road for a new Amazon delivery truck driver who is also new in town. He departs from Amazon warehouse and has to go through n houses by the end of his day (h1,h2,…,hn). Given that we know the distance between these houses (called dij = distance(hi, hj), and dsi = distance(s,hi) with s being the Amazon warehouse. At the end of the day, the truck will go back to the warehouse s. So a typical road would look like: s -> h2 -> h1 -> h3 ….-> hn-1 -> hn -> S.

Please use genetic algorithm with the above framework to write a pseudo code to find a road that minimize the distance that he needs to travel.

In your pseudocode, please feel free to suggest the size of the initial population, the fitness function, choose how you do cross-over and mutation. You don’t have to implement this pseudo code but will be graded on the details you could provide so that people who are implementing it would find it easy to work on. 

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