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Q . 4 . Consider the simple optimization problem using Genetic Algorithm: [ 1 5 ] Maximize, f ( x ) = 6 4 -

Q.4. Consider the simple optimization problem using Genetic Algorithm: [15] Maximize,
f(x)=64- x^2
1<= x <=64
x is an integer
(i) How many binary digits are present in each of the string for the above problem?
(ii) What is the fitness function you would assume in the above problem?
(iii) Assume that 5 random strings are created corresponding to x values, 63,4,1,10,36.
Write the binary strings corresponding to the values of x and write down the fitness values.
(iv) Find out the expected number of copies of the best string in the above population in the mating pool under roulette-wheel selection, based on the following random numbers 0.5469,0.9575,0.9649,0.1576,0.9706
(v) Write the schema corresponding to x >=33
(vi) If single point crossover with probability 0.9 and a bit-wise mutation with a probability of 0.01 are used, how many copies of the above schema are expected in generation five?

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