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Using j rand ensures the difference between the trial vector (U_{i}^{G}) and target vector (X_{i}^{G}).
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c) Selection operation The selection operator is performed to select the better solution between the target vector (X_{i}^{G}) and the trial vector (U_{i}^{G}) entering to the next generation.
If the objective value of trial vector y p.q t+1 is bigger than objective value of trial vector x p,q t, trial vector y p.q t+1 will replace the trial vector x p,q t.
The vectors for the next iteration t + 1 are generated by comparing the target vector x p,q t with the trial vector y p.q t+1.
In the binomial crossover, the target vector is mixed with the mutated vector, using the following scheme, to yield the trial vector (u_i^G ).
The trial vector combines three other individuals, randomly chosen from the population.
P r indicates the probability of using the mutant (trial) vector.
A comparison between the parent and its trial vector is then done to select the vector which should survive to the next generation [9].
The candidate solution obtained at the end of crossover process is called trial vector.
In the trial, the vector will be delivered, by subretinal injection, to a single eye of between ten and twenty adult and pediatric patients.
A trial parameter vector with high possibility of having fitness worse than that of the current target vector is called a possibly useless trial vector (PUT vector).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com