Efficient formulation and solution methods

Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Multiproduct pipeline transportation scheduling is a complex operations research problem that is characterized by the movement of the …
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Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Wasserstein-Distance-Based Temporal Clustering for Capacity-Expansion Planning in Power Systems
As variable renewable energy sources are steadily incorporated in European power systems, the need for higher temporal resolution in …
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Combining Progressive Hedging with a Frank--Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming
We present a new primal-dual algorithm for computing the value of the Lagrangian dual of a stochastic mixed-integer program (SMIP) …
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Combining Progressive Hedging with a Frank--Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming
Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
In this paper, we propose a novel decomposition approach (named PBGS) for stochastic mixed-integer programming (SMIP) problems, which …
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Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems
An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
This paper presents the development of an enhanced L-Shaped method applied to an inventory management problem that considers a …
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An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
We contribute improvements to a Lagrangian dual solution approach applied to large-scale optimization problems whose objective …
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A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems
Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
We propose methods for improving the relaxations obtained by the normalized multiparametric disaggregation technique (NMDT). These …
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Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming
A strategy based on convex relaxation for solving the oil refinery operations planning problem
Oil refining is one of the most complex activities in the chemical industry due to its nonlinear nature, which ruins the convexity …
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A strategy based on convex relaxation for solving the oil refinery operations planning problem
Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain
This paper addresses the solution of a two-stage stochastic programming model for an investment planning problem applied to the …
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Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain
A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations
We present a scenario decomposition framework based on Lagrangean decomposition for the multi-product, multi-period, supply investment …
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A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations