Sentence examples for more complex optimization from inspiring English sources
Application of the proposed regularization strategies to more complex optimization problems of physical and engineering relevance is also discussed.
The new method is particularly suited for more complex optimization problems ("discontinuous" ones, problems with hard-to-find admissible solutions, problems with complex objectives or many constraints).
Ms. McGeoch said D-Wave's chips had performed well and might have better outcomes in the future, as its machines become more powerful, and more complex optimization problems are set.
Applications are abundant, and vary from equilibrium problems in the engineering and economic sciences, through resource allocation and balancing problems in manufacturing, statistics, military operations research and production and financial economics, to subproblems in algorithms for a variety of more complex optimization models.
Moreover, fast computational algorithms to solve these more complex optimization problems are presented in [20].
On the other hand, more complex optimization techniques can be applied in standard computation times.
Compared to other data management approaches, we are able to quickly react to local problems and at the same time carry out more complex optimizations on a larger time scale.
Furthermore, this algorithm can be considered to be a universal low-thrust optimizer, and it can easily be used to solve more complex trajectory optimization problems such as multi-swingby problem and multidisciplinary design optimization (MDO) problems.
Interestingly, they anyhow show performance which is almost comparable to the performance of codes optimized through a more complex non-linear optimization algorithm.
This new formulation uses margin-based loss functions to control model complexity independently of the dimensionality of the input space, and kernel functions to project the estimation problem to a higher dimensional space, which enables the solution of more complex nonlinear problem optimization methods to exist for a globally optimal solution.
This novel model enhances the practicability of traditional cyber physical system structures, but it makes the dependency link deployment problem more complex and the optimization problem cannot be solved in large networks.
