1- Suppose a genetic algorithm uses chromosomes of the form X = abcdefgh with a fixed length of eight genes. Each gene can be any digit between 0 and 9. Let the fitness of individual X be calculated as: f(X) = (a + b)(c + d) + (e + f) − (g+h) Let the initial population consist of 6 following chromosomes: I. II. III. X1=65413532 X2=87126601 X3 239 21285 X4=41852094 X5 83 93 1775 X6=52769863 Evaluate the fitness of each individual (show all stages). Then select 4 of them for next generation and write chromosomes which are selected. (Consider maximization.) Perform the following crossover operation on the initial population: Do crossover on X2 and X6 (parents) and name offspring as X7 and X8. Consider one-point crossover and the crossover point between "c" and "d". Write chromosomes X7 and X8. Evaluate offspring generated by crossover operation above (Chromosomes X7 and X8). Do their fitness are better than their parents?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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1- Suppose a genetic algorithm uses chromosomes of the form X = abcdefgh with a fixed length of
eight genes. Each gene can be any digit between 0 and 9. Let the fitness of individual X be
calculated as:
f(X) = (a + b)−(c+d) + (e+f) - (g+h)
Let the initial population consist of 6 following chromosomes:
I.
II.
III.
X1=65413532
X2=87126601
X3 239 21285
X4=4185 2094
X5 83931775
X6=52769863
Evaluate the fitness of each individual (show all stages). Then select 4 of them for next
generation and write chromosomes which are selected. (Consider maximization.)
Perform the following crossover operation on the initial population: Do crossover on X2
and X6 (parents) and name offspring as X7 and X8. Consider one-point crossover and
the crossover point between "c" and "d". Write chromosomes X7 and X8.
Evaluate offspring generated by crossover operation above (Chromosomes X7 and X8).
Do their fitness are better than their parents?
Transcribed Image Text:1- Suppose a genetic algorithm uses chromosomes of the form X = abcdefgh with a fixed length of eight genes. Each gene can be any digit between 0 and 9. Let the fitness of individual X be calculated as: f(X) = (a + b)−(c+d) + (e+f) - (g+h) Let the initial population consist of 6 following chromosomes: I. II. III. X1=65413532 X2=87126601 X3 239 21285 X4=4185 2094 X5 83931775 X6=52769863 Evaluate the fitness of each individual (show all stages). Then select 4 of them for next generation and write chromosomes which are selected. (Consider maximization.) Perform the following crossover operation on the initial population: Do crossover on X2 and X6 (parents) and name offspring as X7 and X8. Consider one-point crossover and the crossover point between "c" and "d". Write chromosomes X7 and X8. Evaluate offspring generated by crossover operation above (Chromosomes X7 and X8). Do their fitness are better than their parents?
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