Sentence examples for optimal satisfaction of from inspiring English sources

The experimental results demonstrate that the proposed hybrid algorithm yields an efficient solution with an optimal satisfaction of course scheduling for instructors and class scheduling arrangements.

The optimal satisfaction of dependability attributes and cost, in the design of engineering systems, is a hard multi-objective optimization problem which requires automated algorithms that can effectively search large design spaces.

But the principle can also explain how a single person could flourish, for a version of it explains the optimal satisfaction of all psychological attitudes (442d-444a with 432b-434c).

In these pilot projects, utilization was so great that most often, after a few years, it neared optimal satisfaction of population health needs.

The models are built upon optimal satisfaction of dihedral angle restraints and spatial constraints that are derived from the alignment of the target sequence and the template structure [ 27].

Considering three objectives, namely the maximum customer satisfaction, minimum incremental cost and minimum technical difficulty of DRs in NPP, an additive fuzzy goal programing model is proposed to obtain the optimal satisfaction under the preemptive priority structure of all goals.

To shorten and validate the EMpowerment of PArents in THe Intensive Care (EMPATHIC) questionnaire of optimal length to measure satisfaction of parents whose child has been admitted to pediatric intensive care units (PICUs).

In literature, supply chain models completely deal with petroleum industry, whereas present research wants to analyze the tactical planning, through a large scale multisite modelling in the production and distribution of industrial gases, so to overcome programmed maintenance stops in an optimal way, keeping the satisfaction of market demand.

The structure determination protocol gives families of conformers that all have an optimal docking as assessed by satisfaction of the target function.

We prove that opponent learning strategies are worth for consideration in open competitive computational grids, leading towards an optimal allocation of resources and fair satisfaction of participants.

Additionally, this method provides the weights for a finite horizon controller that results in the optimal trade-off in process variable variances that will allow satisfaction of the operating constraints at the optimal operating point.