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In this context, there is a need for optimization of the computation.
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A sequence of off-line polyhedral projections eliminates the need of on-line optimization for the computation of control actions.
It is indicated that it takes less than 30 minutes for a molecule from the structure optimization to the computation of descriptors by using the second development program.
Our future work will focus on (1) the optimization of the features computation and (2) the multi-threading of the tracking in order to perform multi-target tracking with load balancing on the available core.
Their approach is based on a caching cell topology technique, which stores the 15 cases of marching cubes in GPU (once it can cache geometry in a very efficient way) and improves the performance of the case classification stage by means of an optimization of the pre-computation step on the CPU, making use of the span-space properties.
Related to this fact, we propose to jointly optimize the prediction filters by using an algorithm that alternates between the optimization of the filters and the computation of the weights.
In the optimization section, the computation of the monomer feed rate is performed because the solution of a constrained optimization problem where the batch time is the performance index which is minimized and the difference between the specified and obtained PSDs (error) and the heat removal capacity of the reactor jacket enter as constrains.
Parts of the framework offer tools for optimization with the computation effort independent of the size of the study area.
Furthermore, observe that the determination of the optimization range, or, the computation of from (17), requires the knowledge of, which is yet to be optimized.
The computation time for the simulation-based approach is, in fact, an estimation, based on multiplying the average number of optimization iterations by the computation time of a single fixed-point simulation.
The results show that by using this hybrid optimization procedure, the computation time of a single optimization run can be reduced by 46 72% while achieving Pareto-optimal solution sets with similar, or even slightly better, quality as those obtained when conducting NSGA-II runs that use FE simulations over the whole run-time of the optimization process.
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