Sentence examples for make optimization decisions from inspiring English sources

Still, Cadogan says that by integrating the new offering with OpenX's ad exchange, the company will open more inventory for real-time buyers, and that by integrating LiftDNA with OpenX's ad server, it can make optimization decisions more quickly.

The potential for numerical optimization procedures to make optimal sequencing decisions in hybrid dynamic systems is explored.

On detecting dramatic utilization changes which imply that the service instance is running inefficiently, it makes appropriate optimization decisions and then triggers appropriate optimization actions according to user specified optimization rules.

With these two parameters, we are able to describe the current state more specifically and make more appropriate optimization decisions.

Sharethrough HQ gives media agencies and brand advertisers the ability to track the performance of their online video content, gain insight into the media generated for their campaigns and make real-time campaign optimization decisions from a single interface.

In this paper, the goal of the proposed approach is not to optimize road safety, but to generate insights and sufficient knowledge to enable decision makers to make the right optimization decision to avoid dangerous routes and improve road safety.

Shelf-space optimization models support retailers in making optimal shelf-space decisions.

A few have explored post-optimization decision making using concepts such as Pareto optimality, but mostly in multi-objective problems.

A bottom-up approach to real-time energy monitoring by integrating virtual and physical domains to increase user awareness on where, when, how and why aspect of energy to make inform decisions regarding energy consumption, optimization and conservation is proposed.

Normally, studies use an optimization model to make decisions in case of a hydro-thermal scheduling problem and use the assured energy to evaluate the hydro-production.

The optimization goal is to make decisions over time that maximizes a weighted sum of admitted data rates subject to constraints on queue stability and energy expenditure.