Sentence examples for mathematical programming methodologies from inspiring English sources
Overall, the iMod approach that combines the two aforementioned stages is intended to extend the use of mathematical programming methodologies to larger-size networks.
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.
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.
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.
The methodology uses a mathematical programming model to map the industry manufacturing process onto potential production-distribution facility locations and capacity options.
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.
Various methodologies, from simple weighted scoring methods to complex mathematical programming models, are introduced to tackle the VSP.
