7 D 10 15 14 5 80 2 17 Co 8 03 00 B 9 11 E This is a map of 7 cities (A, B, C, D, E, F, and G) that are connected with each other via different paths. Your job is to visit every city just once covering the minimum distance possible. You have to find the optimal combination of cities using the Genetic Algorithm. You can start at any point and end at any point but keep in mind that every city must be visited. 1. Encode the problem and create an initial population of 4 different chromosomes. 2. Using an appropriate fitness function, perform natural selection to choose the 2 fittest chromosomes. 3. Perform single point crossover from the 3rd index of your selected chromosomes to get 2 offspring. Are they eligible as a solution? If not, explain with reason. 4. Would the usual method of mutation work here? Explain your opinion.

7 D 10 15 14 5 80 2 17 Co 8 03 00 B 9 11 E This is a map of 7 cities (A, B, C, D, E, F, and G) that are connected with each other via different paths. Your job is to visit every city just once covering the minimum distance possible. You have to find the optimal combination of cities using the Genetic Algorithm. You can start at any point and end at any point but keep in mind that every city must be visited. 1. Encode the problem and create an initial population of 4 different chromosomes. 2. Using an appropriate fitness function, perform natural selection to choose the 2 fittest chromosomes. 3. Perform single point crossover from the 3rd index of your selected chromosomes to get 2 offspring. Are they eligible as a solution? If not, explain with reason. 4. Would the usual method of mutation work here? Explain your opinion.

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

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Question

100%

Please use Genetic Algorithm to solve the problem

7
D
10
15
14
5
80
2
17
Co
8
03
00
B
9
11
E

This is a map of 7 cities (A, B, C, D, E, F, and G) that are connected with each other via different
paths. Your job is to visit every city just once covering the minimum distance possible. You
have to find the optimal combination of cities using the Genetic Algorithm. You can start at any
point and end at any point but keep in mind that every city must be visited.
1. Encode the problem and create an initial population of 4 different chromosomes.
2. Using an appropriate fitness function, perform natural selection to choose the 2 fittest
chromosomes.
3. Perform single point crossover from the 3rd index of your selected chromosomes to get 2
offspring. Are they eligible as a solution? If not, explain with reason.
4. Would the usual method of mutation work here? Explain your opinion.

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.

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