Exact(13)
The crossover fraction is 0.8.
The crossover fraction rate is 0.5.
The crossover fraction specified the fraction of the next generation.
These operations are controlled by two parameters, the crossover fraction and the mutation factor.
We assigned 0.8 for crossover fraction, and used Equation (24) for reproduction of the elite counts.
GA-PS algorithm was regulated to 1,000 generations, crossover fraction of 72 % with scattered crossover function, and initial range of [0 1].
Similar(47)
Reproduction: (Elite count: 2.0, crossover fractions: 0.08).
It was found that in GA, the variations in population size, creation function, crossover fractions and mutation scale had most effect on fitness function while number of generation had minimum effect on it.
The crossover mass fraction, (x_{text {np}}^{prime }), beyond which Eq. 5 should be replaced by Eq. 11 according to Eq. 9 is x_{text{np}}^{prime} = frac{1}{1 + M_{i}/M_{text{np}}} ;. (12).
In present work, the above process is simulated with a population size of 60, selection type is tournament, pareto front population fraction, crossover and mutation probability are selected to be 0.35, 1 and 0.001, respectively.
In fact, for the crossover model, the recombination fraction oscillates around 1/2 as d→∞.
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