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An extensive computational experiment is carried out to evaluate their performance.
An extensive computational experiment is carried out to evaluate its performance.
Encouraging results are obtained through an extensive computational experiment using a set of benchmark instances.
We have carried out an extensive computational experiment to study the performance of the algorithms and compare its efficiency solving well-known benchmark instances.
An extensive computational experiment shows that the designs produced by the integrated algorithm outperform those obtained by existing algorithms, and match the optimal designs that have been analytically derived for a number of benchmark instances.
With the tuned parameters, the performance of the proposed genetic algorithms is evaluated in terms of the mean percentage deviation of the solution with respect to the lower bound value, through an extensive computational experiment.
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In addition, a computer implementation and extensive computational experiments are provided.
Extensive computational experiments confirm the efficiency of the proposed methodology.
Extensive computational experiments demonstrate the effectiveness of our approach.
Extensive computational experiments are carried out to test them.
Extensive computational experiments have been performed to validate the proposed formulation.
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