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Results show a good performance of the framework.
The performance of the framework is assessed through applying it to several public microarray data.
Results showed an effective performance of the framework for determining the most sustainable allocation policy in groundwater resource management.
Additionally, several system agents are designed for monitoring the traffic and performance of the framework and sharing information.
The performance of the framework has been validated using experiments on synthetic and real sequence of images.
The performance of the framework is evaluated by coupling Weather Research and Forecasting (WRF) model with three microscale computational fluid dynamics (CFD) codes of varying complexity.
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Second, we compared the performance of the genetic framework with the exhaustive framework (mutation 0.033).
Finally, we compared the performance of the genetic framework with the exhaustive framework (mutation 0.1).
Second, we compared the performance of the genetic framework with the exhaustive framework (crossover 0.7).
Finally, we compared the performance of the genetic framework with the exhaustive framework (crossover 0.9).
For the crossover operator, we conducted three analyses: first, we compared the performance of the genetic framework with the exhaustive framework (crossover 0.6).
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