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1£©References are required at places which refer to other published works, for example, for equations (2) to (5);
2) For equation (5), fi*, i =1, ¡­, k, may not correspond to the same location;
3£©The statistical results shown in the work are adequate but scarce. In this way, Tables 1 to 7 show the maximum, minimum and average values, together with the standard deviation of the three metrics used in the seven problems proposed. With this information, it is easy to perform parametric statistical tests and/or non parametric ones, to check if there are statistically significant differences in average value or in ranking for the four methodologies considered. This would improve the conclusions of the paper.
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It is not clear that the use of a multi-dimensional uniform mutation operator, because, although the authors state that "is performed to prevent algorithm from trapping into local optimum", would not has been better using from the beginning hybrid genetic multi-objective genetic algorithms and not using PSO with a mutation operator?

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