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Finally, the optimal design of looped network is determined by linear programming based on the optimal flow distribution scheme.
In the first-stage optimization, we minimize the total flux associated with lowly expressed reactions, namely those included in the set L: (10) Minimize ∑ r ∈ L v r Subject to Equations (1 - 9) This is a mixed-integer linear problem and algorithmically such problems are solved by linear programming based tree search.
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The first is an exhaustive search method and the second is a linear programming based approach.
Comparing with several state-of-the-art feature selection methods, our Linear Programming based Feature Selection (LPFS) method can select a small set of features by applying strong regularization while keeping high accuracy.
In this study we propose a linear programming based optimization model to find the optimal set of protein-protein interaction affinities which are measured by the product of the gene expression.
In this study, we develop a novel Linear Programming based Feature Selection method (LPFS) to understand the mechanism of acupuncture effect, at molecular level, by revealing the metabolite biomarkers for acupuncture treatment.
In a big distribution system linear and non-linear programming based optimizing techniques are applied for relay coordination.
References [11, 12] develop mixed integer linear programming-based optimization methods for controlled islanding.
The second is an effective linear model, based on interpolation of single node sensitivity, in which the selective combinations can be found by linear programming optimization.
All present conditions can be described by linear programming.
Two optimization problems are proposed and solved by linear programming.
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