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If implementing one mutation operator results in an infeasible solution, that solution will be eliminated.
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It can select the appropriate cross operator, mutation operator or reattempt operation according to the current optimization result.
IGA integrates many cross operator, mutation operator and reattempt operation.
The mutation operator randomly modifies a solution.
One can see that with iGA, a better result is achieved (the mutation operator here does not respect connectivity constraint to make fb approach 0).
Moreover, simulation results show that the directional mutation operator is helpful for balancing the exploration and exploitation capacity of the tested DE algorithms.
Furthermore, after considering the features of the qualitative model space, we modified the mutation operator accordingly, which significantly improved the learning performance, resulting a more efficient system QML-AiNet MM).
Mutation Mutation operator makes a new mutated chromosome by making a random modification.
The new mutation operator is based on the four kinds of mutation operation in PGA, which eliminates the mutation probability.
In this problem, selection operator, elitism, crossover operator, mutation operator, and recent reduction operator are determined in such a form that the algorithm reaches a proper result; for example, in a crossover operator (Figure 2), the crossover is done in the form of a single point with the probability of 0.8.
Mutation operator.
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