Sentence examples for the complexity of the optimization from inspiring English sources
However, how to provide guarantee for the high precision tracking of moving objects in the dynamic range and complex environment and the complexity of the optimization algorithm is one of the most difficult problems.
Considering the complexity of the optimization problem in reality and in order to find the optimal solution of multi-objective optimization problem in a smaller range, the notion of quasi-efficient and weakly quasi-efficient are introduced as follows (see [12, 21, 22]).
Additionally, we uncover plant optimality conditions which reduce the complexity of the optimization.
The analysis of the multiple region quantizer is limited to a three region case due to the complexity of the optimization problem and due to the fact that much more complex multiple region quantizer models obtained for a higher number of regions could slightly improve the performances.
Due to the complexity of the optimization problem, a heuristic algorithm is also proposed.
The results draw attention to the complexity of the optimization procedure of the deposition of multilayers with several alloying components.
The complexity of the manual optimization is not addressed since extensive skilled human intervention is required during the optimization process.
This characteristic is also the important difference between the structure optimization problem and the mathematical program problem and it greatly increases the complexity of the structure optimization problem [13].
Convex optimization designs in [10, 12] can also be used for power distribution, however the complexity of the convex optimization design is higher than the analytical power distribution.
Because of the complexity of the location optimization problem complexity, it often requires thousands or even more iterations to obtain the optimal solution.
From the power management perspective, this new opportunity is considered as a new degree of freedom in addition to the classic Dynamic Voltage Scaling (DVS), increasing the complexity of the power optimization problem at design time.
