Sentence examples for optimizing a utility from inspiring English sources

In IUBSNs, the needed steam is obtained by optimizing a utility supply network while methane-rich biogas is generated by placing anaerobic digestion tanks into a number of wastewater treatment plants allocated by region.

The main idea behind this approach is to optimize a utility function, representing the location accuracy, using entropy-based metrics.

As will be discussed in detail in the next sections, the main idea underlined our proposed information-theoretic approach is to optimize an utility function representing the overall energy in a cluster, using energy-based metrics, jointly to the mutual information between the sensor node observation and the target state.

In these terms, human spatial logic for route selection navigates an individual from the origin to the destination generally in favor of optimizing a certain utility function (i.e., cost function) to ensure the expected success.

As we described earlier, the human spatial logic for route selection navigates an individual from the origin to the destination generally in favor of optimizing a certain utility function to ensure his expected success.

In contrast to this stands the utility-based resource allocation problem where the network operator aims at optimizing a weighted aggregate utility so as to maximize the overall network performance.

The goal is to build a network that optimizes a certain utility function when failures occur.

They designed a joint cross-layer and sensing algorithm that optimizes a system utility, which adapts the power allocation and the sub-carrier assignment across the secondary users and proposed a distributed implementation of the algorithm.

For the first time, we optimize a subset for utility in population genetic analysis of E. gomphocephala to inform future conservation programs.

On top of the Cloud stack model representing the configuration of all three layers, an adaptive framework for optimizing the utility of a specific job regarding these layers has been designed.

We use an achievable region approach by optimizing the utility functions over a non-trivial reduced throughput region, constructed by randomizing well-designed round robin policies.