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A mixed integer formulation and an adaptive large neighborhood search heuristic are proposed.
A mixed integer formulation is developed which is solved using standard B&B techniques.
To deal with uncertainties, a stochastic linear mixed integer formulation is developed.
First we propose a mixed integer formulation for this decision problem and we prove it is NP-hard.
Two adaptive "relax-and-tighten" schemes, integrality and Lagrangian duality based relaxation, are proposed to handle the binary variables in a mixed integer formulation of the models.
An exact solution approach based on a mixed integer formulation adapted to the problem structure is presented, and computational results are reported on randomly generated instances.
Similar(47)
This paper presents and compares two mixed integer formulations for this problem, based on a multi level network.
Several non-linear mixed integer formulations are presented in order to understand the intrinsic complexity of the problem.
To solve these nonlinear mixed integer formulations for reliable network design problems, Lagrangian relaxation and Branch-and-Bound methods are developed to efficiently obtain optimal solutions.
We propose two mixed integer formulations of this problem and a heuristic procedure that uses tabu search in a multi-start framework.
Since the TSP is well studied[24], various mixed integer formulations are known, such as a sub-tour elimination formulation, which have proven to be applicable in practical circumstances.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com