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On the other hand, we should think about resources optimization.
A water resources optimization model is developed based on interval-parameter two-stage stochastic programming.
Over the last two decades, evolutionary algorithms (EAs) have become a popular approach for solving water resources optimization problems.
Genetic algorithms have been shown to be powerful tools for solving a wide variety of water resources optimization problems.
Many real water resources optimization problems involve conflicting objectives for which the main goal is to find a set of optimal solutions on, or near to the Pareto front.
Internet traffic is highly dynamic and difficult to predict in current network scenarios, which enormously complicates network management and resources optimization.
Similar(43)
The second problem is related to network resource optimization.
This section presents two autonomic managers dealing with resource optimization.
This is a case study on an airline's miles program resource optimization.
It is known that system-wide radio resource optimization is usually very challenging[7].
The coexistence of both self-sizing and Dvfs managers can improve resource optimization.
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