In HDNA-GA, three new crossover operators, replacement operator, transposition operator and reconstruction operator, are designed to improve the population diversity, and the mutation operator with adaptive mutation probability is applied to guarantee against stalling at local peak.
Does the law of probability apply here?
Mutation is only applied with a certain small mutation probability (P_{mutate}).
Each element in the chromosome is applied to mutation with a predefined mutation probability.
For setting mutation probability, five mutation probabilities: 0, 0.02, 0.03, 0.03, and 0.04, have been applied on five instances.
The natural evolutional processes of reproduction, selection, crossover, and mutation are applied using probability rules to evolve the new and better generations.
The sensitivity analysis conducted for minimization of the function of reliability index has led to the following appropriate values to be applied for GA analysis: probability of crossover, Pc = 0.65, initial population, Npop = 50, mutation probability, Pm = 0.025, and maximum number of generation, MaxGen = 40.
This is applied to the GA in such a way that when the GA becomes trapped around local minima, mutation probability is abruptly increased until an improvement in the GA trend is observed.
The Mutation Probability is the probability that each gene from a child will be mutated.
A mutation probability is also specified, which can randomly alter the children's genes.
