Sentence examples for mathematical programming methodology from inspiring English sources
This study proposes a mathematical programming methodology to assist decision makers in strategic (long term) planning for bioprocessing of renewable resources.
The contribution of this study lies in presenting a fuzzy mathematical programming methodology to fuzzy multi-objective PM decisions, and provides a systematic decision-making framework that facilitates the decision maker to interactively adjust the search direction until the preferred efficient solution is obtained.
Overall, the iMod approach that combines the two aforementioned stages is intended to extend the use of mathematical programming methodologies to larger-size networks.
The approach combines thermodynamics, engineering knowledge, and mathematical programming and leads to Conceptual Programming methodology with a clear potential to address industrial applications from a systematic and rigorous perspective.
This paper demonstrates that optimum weighting coefficients and inverse filters for microphone arrays can be accomplished, with the aid of a systematic methodology of mathematical programming.
The methodology uses a mathematical programming model to map the industry manufacturing process onto potential production-distribution facility locations and capacity options.
Other methodologies based on mathematical programming concepts such as, mixed integer nonlinear programming (MINLP) have also been proposed.
Methodologies such as mathematical programming models have been instrumental in the optimal synthesis and design of such complex systems.
TIGER uses a custom Matlab class CMPI Commonn Mathematical Programming Interface) to create and solve mathematical programming problems.
To obtain the entire PF, or to be more exact, to obtain a representative subset of the PF, a huge number of algorithms and methodologies in both communities of traditional mathematical programming and evolutionary computation have been designed in recent decades.
Here, we aim to enhance the application of mathematical programming to community structure identification by: (i) developing an efficient methodology for module detection that is capable of handling large size networks and (ii) incorporating strategies for dealing systematically with the problem of a resolution limit in module detection through modularity optimisation approaches.
