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The suggested selection of these components with the objective of minimizing costs is established as a linear programing problem.
Ghodsypour and O'Brien (1998) integrated an analytical hierarchy process with a linear programing model to cope with both tangible and intangible factors in supplier selection problem.
With the EPI being defined, a linear programing model was then formulated to search for the optimal waste-load allocation schemes.
Meng et al. (2013b) use a linear programing method to do similar linking work resulting in a balanced ICIO table with a target country's IRIO table embedded.
For example, Meng et al. (2013b) embedded China's domestic inter-regional IO (IRIO) table into the world input output table (WIOT) using a linear programing method.
Furthermore, a linear programing based method is proposed to solve the L1-induced controller synthesis problem for positive systems with interval uncertainties.
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The hybrid method transforms the original problem to an integer linear programing problem based on a supervised learning technique and a tractable nonlinear problem.
The optimization model was formulated as a sequential linear programing (SLP) problem to address the aquifer type (unconfined).
Since bidders are offered different items at each round, a mathematical linear programing model for selecting the best set of items to bid for is presented.
CLIIQ (Lin et al., 2012) addresses this problem by applying an integer linear programing approach to limit the number of isoforms expressed in any sample combined with an l1 loss on the difference of observed and expected coverage.
In this work, we follow this line of research and propose a column generation heuristic for a Mixed Integer Linear Programing (MILP) model that integrates all design issues.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com