Γ-opt Research Group
Γ-opt Research Group
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Publications
Efficient formulation and solution methods
Risk-averse decision strategies for influence diagrams using rooted junction trees
This paper presents how a mixed-integer programming (MIP) formulation for influence diagrams that is based on their gradual rooted …
Olli Herrala
,
Topias Terho
,
Fabricio Oliveira
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Employing Deep Neural Operators for PDE control by decoupling training and optimization
Neural networks have been applied to control problems, typically by combining data, differential equation residuals, and objective …
Oliver Lundqvist
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Fabricio Oliveira
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A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel …
Olli Herrala
,
Steven A. Gabriel
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Fabricio Oliveira
,
Tommi Ekholm
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A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
We propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic equivalents …
Nikita Belyak
,
Fabricio Oliveira
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A study of progressive hedging for stochastic integer programming
Motivated by recent literature demonstrating the surprising effectiveness of the heuristic application of progressive hedging (PH) to …
Jeffrey Christiansen
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Brian Dandurand
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Andrew Eberhard
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Fabricio Oliveira
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Integrated supervisory control and fixed path speed trajectory generation for hybrid electric ships via convex optimization
Battery-hybrid power source architectures can reduce fuel consumption and emissions for ships with diverse operation profiles. However, …
Antti Ritari
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Niklas Katzenburg
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Fabricio Oliveira
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Kari Tammi
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Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?
Managing blood product inventories can be challenging due to stochastic supply and demand, varying shelf lives of the products, and the …
Mary Dillon
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Ilmari Vauhkonen
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Mikko Arvas
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Jarkko Ihalainen
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Eeva Vilkkumaa
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Fabricio Oliveira
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Achieving Emission-Reduction Goals: Multi-Period Power-System Expansion under Short-Term Operational Uncertainty
Stochastic adaptive robust optimization is capable of handling short-term uncertainties in demand and variable renewable-energy sources …
Tuomas Rintamäki
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Fabricio Oliveira
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Afzal S. Siddiqui
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Ahti Salo
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
This paper presents a novel technique to compute Lagrangian bounds for nonconvex mixed-integer quadratically constrained quadratic …
Tiago Andrade
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Nikita Belyak
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Andrew Eberhard
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Silvio Hamacher
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Fabricio Oliveira
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A two stage stochastic programming for asset protection routing and a solution algorithm based on the Progressive Hedging algorithm
In this paper, a two-stage stochastic programming model is developed for the asset protection routing problem (APRP) to be employed in …
Mahdi Bashiri
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Erfaneh Nikzad
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Andrew Eberhard
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John Hearne
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Fabricio Oliveira
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