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Our approach is applicable when the reproduction operator of an evolutionary algorithm is dominated by the mutation operator of the (1 + 1 -EA.
Then, mutation operator of the source (Mahdavi et al. 2009) is used for the mutation.
They also modified mutation operator of GA and make it adaptively performed with BSP tree.
Table 5 presents information about DCL A (o k ) and DCL R (o k ) for each mutation operator of μJava.
DE is an evolutionary algorithm that replaces the mutation operator of genetic algorithms with a differential operator.
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Because the constant 0% mutation rate GA does not find the global maximum, it was compared to the adaptive mutation operator on the basis of null hypothesis 1 at the 0.05 level of significance: the accuracy of the adaptive mutation operator will not be significantly higher than that of 0% constant mutation rate.
Based on these, the adaptive probabilities of crossover and mutation operators of an individual are presented.
Three new mutation operators of different abilities are also presented to enhance the algorithm.
A new mutation and a new crossover operator were defined to complement the standard crossover and mutation operators of the basic Holland's GA.
Open image in new window Fig. 9 Mutation operators of float code.
Considering these results, we may suggest from Tables 3 and 5 incremental strategies for applying warning categories of FindBugs and mutation operators of μJava.
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