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In order to design a simulation suite and choose a specific simulator, you must determine how both will be used.
We design a simulation framework that provides the flexibility to incorporate this method of simulating TCP packet flows.
We design a simulation environment by using C#.
Design: A simulation study comparing meta-regression with IPD analyses of randomized controlled trials.
Paper also design a simulation scenarios contains three satellites and a big target area.
We design a simulation showing that a complement can be obtained with a polynomial tradeoff.
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Second, we design a simulation-based optimization approach by implementing the PH-based DES model and the GA to work concurrently.
In order to confirm the robustness of the obtained clusters, which in fact have strong implications for international climate change mitigation, especially for the US-induced Chinese clusters, we design a simulation-based experiment.
For comparison purposes, we also design a simulation-based stochastic optimization algorithm for locally optimal power allocation for the original distortion outage minimization problem using a simultaneous perturbation stochastic approximation (SPSA) method.
Secondly, we design a simulation-based genetic algorithm procedure incorporated with the optimal train control algorithm to find the optimal solution.
Third, we design a simulation-based interactive decision aiding system in which decision analysts guide DMs in dealing with selection issues.
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