Sentence examples for where the optimization of from inspiring English sources

In this way, a scheduling policy is devised that avoids the problem where the optimization of the performance of users of a specific type of service leads to the corresponding degradation of the performance of other types of services.

This article presents results of GPEs obtained by the plasticization of gelatin and addition of LiBF4, where the optimization of the system was achieved by using a factorial design type 22 with two variables: glycerol and LiBF4.

The multi-level optimization technique, where the optimization of the supporting structure and the isolator loci are incorporated into a closed-loop, is proposed and implemented so that the interactions between these two sub-problems can be fully taken into account.

A hierarchical control architecture for the development of EMS is the most com- monly found in literature, which implies the necessity of a telecommunications infrastructure to communicate a distributed control layer with an upper layer, where the optimization of the microgrid operation is done.

The results obtained with CNLD are compared to results recently presented by Chang and Sahinidis [Chang, Y. J., & Sahinidis, N. V. (2005). Optimization of metabolic pathways under stability considerations. Computers and Chemical Engineering, 29 (3), 467 479], where the optimization of the tryptophan biosynthesis model was addressed by a global optimization algorithm.

The paper provides the comparative risk assessment for the case in related paper Design of Procedures for Rare, New or Complex Processes: Part 1 - An Iterative Risk-Based Approach and case study (2017), where the optimization of the pressure testing procedure for an LPG storage sphere is discussed.

In contrast to household and consumer chemicals, where the optimization process of the properties during product development is often independent of the safety assessment, the drug development process can be seen as a series of iterative steps to optimize efficacy and simultaneously lower the safety as early as possible.

In addition, this model was improved in Ennigrou and Ghédira (2008), where the optimization role of the interface agent was distributed among the resource agents.

Notice that the nonrobust design corresponds to the so called naïve design, where the optimization problems of interest are solved assuming that there are no errors in channel estimates (see also Remark 4) although in reality the estimates are erroneous.

This paper presents a technique of multi-objective optimization for Model Predictive Control (MPC) where the optimization has three levels of the objective function, in order of priority: handling constraints, maximizing economics, and maintaining control.

We address a class of planning problems where the optimization decisions influence the time of information discovery for a subset of the uncertain parameters.