Sentence examples for optimized objectives from inspiring English sources

Finally, a range of functional relationship between the optimized objectives in Pareto frontier is fitted to provide more detailed insight into the optimal design of solar-dish Brayton system.

In cellular networks, centralized solutions turn feasible to achieve optimized objectives because of the availability of the overall state of the network [14]; however, they are impracticable to be implemented on the current distributed architecture of the RAN, regarding complexity and latency constraints [15].

The training process of the granular ESN can be viewed as the optimization of the allocation of information granularity, in which a particle swarm optimization (PSO -based aPSO -based employed for solving the optimizapproachoblem, and the evaluatisn critemployedthe PIs performance, including PIsolvingage probabilithe(PICP) and mean PIs width (MPIW), are choptimizationoproblemd objectives.

The integrated optimization model, including the optimized objective function, design variables and constraint functions, is built.

Based on the optimal coupled control of the modes of piezoelectric smart trusses, the integrated optimization model, including some optimized objective functions, design variables and constraint functions, is built.

Then the optimal off-design AUVs in tactical subspaces were found by minimizing the difference between the locally optimized objective function and sub-optimal objective function.

Thus, the optimized objective is to maximize the fitness value that is to maximize the system utility.

The optimized objective (cost) function is defined as the root mean square error between the measured and the predicted tap powers for all measurements with propagation paths each.

The results show that the optimized objective function values are very similar, and mostly independent of the number of trays and of the reaction distribution.

Moreover, even the parameters in this function are not associated with those in the optimized objective function, we can derive the minimum transmit power of D2D from this constraint.

In the optimized objective function, all existing equipment in the distribution network is divided into three categories medium-voltage, low-voltage, and substation equipment and the imposed cost on the distribution company is modeled using the Markov process.