Cover Image

A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herrala, Olli, Gabriel, Steven A., Oliveira, Fabricio, Ekholm, Tommi
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams
by: Herrala, Olli, et al.
Published: (2023)

Risk-averse decision strategies for influence diagrams using rooted junction trees
by: Herrala, Olli, et al.
Published: (2024)

Solving influence diagrams via efficient mixed-integer programming formulations and heuristics
by: Hankimaa, Helmi, et al.
Published: (2023)

A stochastic gradient method for trilevel optimization
by: Giovannelli, Tommaso, et al.
Published: (2025)

A convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives
by: Consolini, Luca, et al.
Published: (2025)

New reformulations for 0-1 quadratic programming problem using quadratic nonconvex reformulation techniques and valid inequalities
by: Lu, Cheng, et al.
Published: (2026)

A reformulation-enumeration MINLP algorithm for gas network design
by: Li, Yijiang, et al.
Published: (2023)

Bilevel linear optimization belongs to NP and admits polynomial-size KKT-based reformulations
by: Buchheim, Christoph
Published: (2023)

A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
by: Belyak, Nikita, et al.
Published: (2023)

Renewable Energy Expansion under Taxes and Subsidies: A Transmission Operator's Perspective
by: Belyak, Nikita, et al.
Published: (2023)

Optimality conditions for bilevel programs via Moreau envelope reformulation
by: Bai, Kuang, et al.
Published: (2023)

Establishing best practices for modeling long duration energy storage in deeply decarbonized energy systems
by: Mantegna, Gabriel, et al.
Published: (2024)

Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
by: Klädtke, Manuel, et al.
Published: (2023)

Theoretical and numerical comparison of seven single-level reformulations for bilevel programs
by: Li, Yu-Wei, et al.
Published: (2025)

Tractable reformulations of DRO problems over structured optimal transport ambiguity sets
by: Chaouach, Lotfi M., et al.
Published: (2025)

Modeling and solving cascading failures across interdependent infrastructure systems
by: Li, Yijiang, et al.
Published: (2024)

A reformulation to Embedding a Neural Network in a linear program without integer variables
by: -de-Alba, Héctor G., et al.
Published: (2024)

An equivalent reformulation and multi-proximity gradient algorithms for a class of nonsmooth fractional programming
by: Zhou, Junpeng, et al.
Published: (2023)

The large-scale charging scheduling problem for fleet batteries: Lagrangian decomposition with time-block reformulations
by: Fotedar, Sunney, et al.
Published: (2025)

First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
by: Postek, Krzysztof, et al.
Published: (2021)

A robust optimization approach to flow decomposition
by: Stinzendörfer, Moritz, et al.
Published: (2024)

Concave tents: a new tool for constructing concave reformulations of a large class of nonconvex optimization problems
by: Gabl, Markus
Published: (2024)

A novel switched systems approach to nonconvex optimisation
by: Ferguson, Joel, et al.
Published: (2024)

A laplace duality for integration
by: Lasserre, Jean B
Published: (2025)

A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure
by: Liu, Hao, et al.
Published: (2024)

PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
by: Wen, Yilin, et al.
Published: (2026)

An ideal-sparse generalized moment problem reformulation for completely positive tensor decomposition exploiting maximal cliques of multi-hypergraphs
by: Huang, Pengfei, et al.
Published: (2025)

Strong duality in infinite convex optimization
by: Hantoute, Abderrahim, et al.
Published: (2025)

Solving bilevel programs based on lower-level Mond-Weir duality
by: Li, Yu-Wei, et al.
Published: (2023)

MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem
by: Sbihi, Mohammed, et al.
Published: (2024)

Fast algorithm for sparse least trimmed squares via trimmed-regularized reformulation
by: Yagishita, Shotaro
Published: (2024)

Data-driven $H_{\infty}$ predictive control for constrained systems: a Lagrange duality approach
by: Wu, Wenhuang, et al.
Published: (2024)

Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling
by: Vågerö, Oskar, et al.
Published: (2025)

An efficient mixed-integer linear programming formulation for solving influence diagrams
by: Terho, Topias, et al.
Published: (2026)

Convergence to periodic orbits in 3-dimensional strongly 2-cooperative systems
by: Katz, Rami, et al.
Published: (2024)

Employing Federated Learning for Training Autonomous HVAC Systems
by: Hagström, Fredrik, et al.
Published: (2024)

A strong formulation for Multiple Allocation Hub Location based on supermodular inequalities
by: Fernández, Elena, et al.
Published: (2025)

ITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search
by: Bakas, Nikolaos P., et al.
Published: (2019)

Employing Deep Neural Operators for PDE control by decoupling training and optimization
by: Lundqvist, Oliver G. S., et al.
Published: (2025)

A novel trajectory optimization algorithm for continuous-time model predictive control
by: Das, Souvik, et al.
Published: (2023)