Sentence examples for programming optimisation from inspiring English sources

A mixed-integer non-linear programming optimisation framework is formulated and developed that combines a molecular-based, group-contribution equation of state, SAFT-γ Mie, with a thermodynamic description of an organic Rankine cycle (ORC) power system.

The procedure for the automatic calculation of the design parameters is then based on expressing the optimum WWTP design problem as a Mathematical Programming (Optimisation) Problem that can be solved using a non-linear optimisation algorithm (GRG2).

In this paper we introduce landscape futures analysis as a method which combines linear programming optimisation with scenario analysis in quantifying the environmental, economic, and social impacts associated with achieving environmental targets, on a landscape scale.

A methodology for designing a HRL based on a ΔTmin approach is compared to three programming optimisation approaches where heat exchangers are constrained to have the same NTU (Number of Heat Transfer Units), LMTD (Log-Mean Temperature Difference) or to find the absolute MTA (Minimum Total Area) for a given heat recovery level.

RSA requires only one linear programming optimisation whereas rFBA may require hundreds.

Finally, Bryant and Waddell [ 4] implemented programming optimisation and Desper and Gascuel [ 23] introduced a greedy search that both improved speed and accuracy of the search.

Short-read sequences were assembled using the VelvetOptimiser de novo short-read assembly program optimisation script using the default parameters [ 25, 26].

This article proposes a classification of different methods for validation, off-line programming and optimisation of control logic.

Integer programming (IP) optimisation techniques guarantee optimal solutions but have been criticised for excessively long or intractable solution times.

In this work a combination of mathematical programming based optimisation strategy and hybrid neural network models is presented in the framework of wastewater minimisation.

This method is based on a mixed-integer programming (MIP) optimisation framework that systematically constructs short-cut predictive models of life cycle impact.