Sentence examples for mathematical optimization approaches from inspiring English sources

Mathematical optimization approaches that guarantee global optimality of solutions or tight bounds on the global optimal value have nevertheless been successfully applied to several variants of facility layout.

This has spurred the development of a wide array of computational tools, and in particular, mathematical optimization approaches, to assist in fundamental metabolic network analyses and redesign efforts.

This paper presents a mathematical optimization approach for the synthesis and design of chilled water networks.

The potential for extending this mathematical optimization approach to more complex systems, including organs, will be discussed.

A mathematical optimization approach is applied in [35] for a maximal coverage and throughput on the one hand and a minimal channel overlap (interference) on the other hand.

The inverse training scheme is based on a mathematical optimization approach which can employ random training data points to construct the virtual grid-state training data points.

Based on these promising results, we propose new methods to load cryoprotectants into human oocytes, designed using our mathematical optimization approach.

This work uses a mathematical optimization approach to analyze and compare facilities that either capture carbon dioxide (CO2) artificially or use naturally captured CO2 in the form of lignocellulosic biomass toward the production of the same product, dimethyl ether (DME).

In mathematics, mathematical optimization (or optimization or mathematical programming) refers to the selection of a best element from some set of available alternatives.

Combining the benefits of thermodynamic analysis and mathematical optimization, the proposed approach is divided into two sequential stages: the targeting overall energy integration and the simultaneous optimal synthesis, and it allow the designers to hierarchically address the interactions among all components within a subambient process.

The reliability design problems have been studied in the literature for decades, usually using mathematical programming or heuristic optimization approaches.