For a genetic algorithm the population size is 4.  The encoding is permutation, the selection method is rank selection, the number of cross over points is 1.  The current population is given below.  The distances between the cities are given in the table below.  The objective is to minimize the total distance of the trip while visiting each city. Perform 2 cycles of Genetic Algorithm.  Remember to show your selection process.  Do one mutation total per cycle.   DBACE AEDBC EBDAC DEACB   Distance between cities A B C D E A - 54 14 47 32 B - - 69 81 24 C - - - 38 72 D - - - - 59 E - - - - -

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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For a genetic algorithm the population size is 4.  The encoding is permutation, the selection method is rank selection, the number of cross over points is 1.  The current population is given below.  The distances between the cities are given in the table below.  The objective is to minimize the total distance of the trip while visiting each city.

Perform 2 cycles of Genetic Algorithm.  Remember to show your selection process.  Do one mutation total per cycle.

 

DBACE

AEDBC

EBDAC

DEACB

 

Distance between cities

A

B

C

D

E

A

-

54

14

47

32

B

-

-

69

81

24

C

-

-

-

38

72

D

-

-

-

-

59

E

-

-

-

-

-

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This does not solve the question as no 2 cylces of genetic algorithm is being performed. The question is not simply a multple choice question as to which path is the shortest. 

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