Sentence examples for optimization to support from inspiring English sources

This chapter investigates the use of multiobjective optimization to support integrated molecular and process design in two new research frontiers pertaining to efficient process operation as well as computations in grid and cloud computing environments.

In this paper we propose a joint benchmarking and optimization methodology to support the design and migration of legacy applications to Cloud.

We present recommendations for use, and suggest areas where improvement is needed for their use in optimization processes to support buildings׳ design.

Following this need the present paper studies the supply chain design and planning problem and proposes an optimization model to support the associated decisions.

Modern manufacturing systems are growing in scale and complexity and increasingly require integrated predictive modelling and optimization methodologies to support routine decision making processes.

To reduce this gap, this paper presents the findings from an action research on the application of an optimization model to support tactical capacity planning in a medium-sized project-driven ETO organization.

Focus was on characteristics that are easily monitored and facilitate development of a field optimization tool to support future implementation and monitoring processes for land use changes at farm and field scales.

As in the case of long-term thermal comfort indices, such visual comfort indices and their summation over a specified calculation period might be used for driving optimization processes to support a more conscious integrated design of buildings.

The paper presents the concept of Multi-objective Multidisciplinary design optimization techniques to support trade-off decisions between multiple conflicting design objectives and interdisciplinary design methodology, during the conceptual design of sport buildings.

For these reasons, a selection of currently available models for distributed generation planning and design is presented and analyzed in the perspective of gathering their capabilities in an optimization framework to support a paradigm shift in urban energy systems.

Recently long-term discomfort indices are employed more and more often in mathematical optimization methods to support the design of buildings where thermal comfort is used as an objective function.