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In this paper, an optimal protection and restoration scheme (OPARS) has been introduced that not only optimizes the number of provisioned protection wavelengths adaptively based on the traffic load as well as the quality of service (QoS) requirements of bursts in high speed networks but also minimizes burst loss rates.
Coming from the industry, this method optimizes the number of tests to be performed by methodologically varying several parameters at the same time.
After a series of merging and pruning steps, the algorithm adaptively optimizes the number of segments, and this process gives TSC additional robustness in comparison to other Gaussian Mixture Models (GMMs) algorithms.
An automatic structure constructor for the fuzzy neural network automatically selects the input variables from the time-integrated values of many measured signals, and optimizes the number of rules and its related parameters.
The intelligent partitioning algorithm optimizes the number of solid domains relative to the number of fluid domains to optimize the overall FSI solution, irrespective of the type of the flow solver.
To this end, we propose a mixed integer linear programming model, the Energy-Aware whichDesign moptimizesch optheizes the number and location of relays to be deployed and the data routing towards the sink, minimizing both the network installation cost and the energy consumed by wireless sensors and relays.
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The proposed mathematical programming model optimizes the numbers, locations and capacities of JCL cultivation centers, JCL seeds and WCO collection centers, bio-refineries, and distribution centers.
With all optimal solutions at hand it is easy to pick those which additionally optimize the number of "surviving" EM.
And to optimize the number of skips, an angle of 20 degrees is best.
There are obviously some simplifications that can occur to optimize the number of operations, which will be detailed later.
We optimized the number of needles such that the total splash time is minimum.
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