PGMODAYS 2021: PGMODAYS 2021

This page contains an index consisting of author-provided keywords.

A
AC Optimal Power Flow	Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs
ACOPF	ACOPF: Nonsmooth optimization to improve the computation of SDP bounds
adaptive grid refinement	Adaptive grid refinement for optimization problems with probabilistic/robust (probust) constraints
Aggregator	Market Integration of Behind-the-Meter Residential Energy Storage
algorithm selection	Towards Trajectory-Based Algorithm Selection
Almost sure convergence	Majorization-Minimization algorithms : New convergence results in a stochastic setting
Angle-only navigation	Cross-entropic optimization of landmarks selection for efficient navigation in passive estimation context
Applications	Fine Properties of the Value Function in Mean-Field Optimal Control
Applications to Energy Management
Approximability	Approximability of Robust Network Designin Undirected Graphs
approximate Nash equilibrium	Approximate Nash equilibria in large nonconvex aggregative games
approximation algorithm	Learning Structured Approximations of Operations Research Problems
Asymptotic analysis	Two optimisation problems in population dynamics
auctions	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
B
B-spline parametrization	A Hierarchical Control Approach for Power LossMinimization and Optimal Power Flow within aMeshed DC Microgrid
Balanced collections	Algorithmic aspect of core nonemptiness and core stability
Balanced TSP	Nash Fairness solution for balanced TSP
Battery Storage Systems	Model Predictive Control Framework for Congestion Management with Large Batteries in Sub-Transmission Grid
best approximation	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
Bi-level
Bi-level optimization	Optimal pricing for electric vehicle charging with customer waiting time On the Equivalence between the Blocker and the Interdiction Problem Applied to the Maximum Flow A Bi-level Optimization Problem to Estimate Enzyme Catalytic Rates from a Proteomic-constrained Metabolic Model
Bilevel methods	Synchronizing Energy Production and Vehicle Routing
Bilevel optimization	On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints A Multi-Leader-Follower Game for Energy Demand-Side Management
Bilevel Programming
Biot and Savart Operator	Optimal Shape of Stellarators for Magnetic Confinement Fusion
Black-box constraints	On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints
black-box optimization	Towards Trajectory-Based Algorithm Selection
blackwell's approachability	Refined approachability algorithms and application to regret minimization with global costs
Blocker problem	On the Equivalence between the Blocker and the Interdiction Problem Applied to the Maximum Flow
Branch and Price	MIP formulations for Energy Optimization in Multi-Hop Wireless Networks
Bregman divergence	Rates of Convergences of First-Order Algorithms for Assignment Problems.
C
chance constraints	Adaptive grid refinement for optimization problems with probabilistic/robust (probust) constraints On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints
chaos optimization	Hyperparameter optimization of deep neural networks: Application to the forecasting of energy consumption
chaos search	Multistage Optimization Algorithm using Chaotic Search
Cloud computing
Column Generation	Linear Lexicographic Optimization and Preferential Bidding System
Combinatorial optimization	On the Equivalence between the Blocker and the Interdiction Problem Applied to the Maximum Flow
communication game	Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
Complementarity Problems	Solution of Fractional Quadratic Programs on the Simplex and Application to the Eigenvalue Complementarity Problem
Complex semidefinite programming	ACOPF: Nonsmooth optimization to improve the computation of SDP bounds
Complex systems interdependence	Shared autonomous electric vehicles transport scheduling with charging considerations: optimization-based planning approaches
Computational complexity	Resource allocation and optimization for the non-orthogonal multiple access
connected graph	Efficient Design of a Military Multi-technology Network through MILP
Constraint Programming	Nuclear outage planning problem: medium term formulation and constraint programming
Control	Online Feedback Optimization with Applications to Power Systems
convergence rate	FISTA restart using an automatic estimation of the growth parameter
Convex Optimization	Parametric stochastic optimization for day-ahead and intraday co-management of a power unit FISTA restart using an automatic estimation of the growth parameter
Cooperative game	Algorithmic aspect of core nonemptiness and core stability
Coordination Schemes	Distribution locational marginal prices via random block-coordinate descent methods
Core	Algorithmic aspect of core nonemptiness and core stability
Core stability	Algorithmic aspect of core nonemptiness and core stability
Coupled transportation-electrical systems	Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators
Covid-19	Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic
Cross-entropy method	Cross-entropic optimization of landmarks selection for efficient navigation in passive estimation context
Cutting planes	On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints
D
Dantzig-Wolfe	Management of electric vehicles fleet by decomposition method approach
Dantzig-Wolfe reformulation	Nuclear outage planning problem: New challenges on long term horizons
data analysis	Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Two Different Scores
Datasets	Hydropower Datasets For SMS++
DC functions	Optimal control problem on Riemannian manifolds under probability knowledge of the initial condition
Decomposition	Stochastic Dual Dynamic Programming and Lagrangian decomposition for seasonal storage valuation
Decomposition methods	Management of electric vehicles fleet by decomposition method approach
Degenerate gradient flows	Worst exponential decay rate for degenerate gradient flows subject to persistent excitation
Differential Flatness	A Hierarchical Control Approach for Power LossMinimization and Optimal Power Flow within aMeshed DC Microgrid
Differentiation	Differentiating through Optimal Transport
Discontinuous coverage	Mixed Integer Nonlinear Approaches for the Satellite Constellation Design Problem
Discrete choice model	Intracity Placement of Charging Stations to Maximise Electric Vehicle Adoption
Discrete Event Systems	Stochastic simulation for discrete event systems based on maintenance optimization
disjunctive optimization	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
dissipativity	On the asymptotic behaviour of the value function in optimal control problems
Distributed Behind-the-Meter Storage	Market Integration of Behind-the-Meter Residential Energy Storage
Distributed energy resources	Stochastic Two-stage Optimisation for the Operation of a Multi-services Virtual Power Plant Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs
Distributed Optimization	Distributed Zero-Order Optimization under Adversarial Noise Distribution locational marginal prices via random block-coordinate descent methods
Distribution Locational Marginal Prices	Distribution locational marginal prices via random block-coordinate descent methods
Distribution Network Marginal Costs	Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs
Distributionally Robust Optimization	Risk-Averse Stochastic Programming and Distributionally Robust Optimization Via Operator Splitting
drift analysis	Parameter-Dependent Performance Bounds for Evolutionary Algorithms
duality cuts	Optimizing over Nonlinear Networks with Duality Cuts
Dynamic Asset Degradation	Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs
Dynamic Bayesian Network	Cross-entropic optimization of landmarks selection for efficient navigation in passive estimation context
Dynamic Programming	Stochastic Dynamic Programming for Maritime Operations Planning A multilevel fast-marching method Synchronizing Energy Production and Vehicle Routing
dynamical systems	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
E
economic dispatch	A distributed algorithm for economic dispatch of prosumer networks with grid constraints
economic equilibrium	Equilibrium Theory in Riesz Spaces under Imperfect Competition
Eigenvalue Problems	Solution of Fractional Quadratic Programs on the Simplex and Application to the Eigenvalue Complementarity Problem
Eikonal equation	A multilevel fast-marching method
Electric power systems	Shared autonomous electric vehicles transport scheduling with charging considerations: optimization-based planning approaches
Electric vehicle	Optimal pricing for electric vehicle charging with customer waiting time
Electric vehicle charging station	Intracity Placement of Charging Stations to Maximise Electric Vehicle Adoption
Electric vehicles	Management of electric vehicles fleet by decomposition method approach Shared autonomous electric vehicles transport scheduling with charging considerations: optimization-based planning approaches Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators Coupled queueing and charging game model with power capacity optimization
electricity contracts	A Quadratic Regularization for the Multi-Attribute Unit-Demand Envy-Free Pricing Problem
Electricity load	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition
Electricity Market	Market Integration of Behind-the-Meter Residential Energy Storage
Elliptic PDEs	Two optimisation problems in population dynamics
Energies renouvelables	Optimisation du planning de production et de l'approvisionnement en énergie d'un site industriel
Energy
Energy management	Stochastic Dual Dynamic Programming and Lagrangian decomposition for seasonal storage valuation
Energy management system	Stochastic Two-stage Optimisation for the Operation of a Multi-services Virtual Power Plant
Energy planning	Parametric stochastic optimization for day-ahead and intraday co-management of a power unit
Energy storage	Stochastic Two-stage Optimisation for the Operation of a Multi-services Virtual Power Plant
ensemble methods	Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Two Different Scores
EPTAS	EPTAS for Stable Allocations in Matching Games
Error bound	Characterizing the error bound properties of functions in metrizable topological vector spaces
ETH	Approximability of Robust Network Designin Undirected Graphs
European gas market	On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints
evolutionary algorithms	A First Theoretical Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) Parameter-Dependent Performance Bounds for Evolutionary Algorithms
expensive black-box function	Hyperparameter optimization of deep neural networks: Application to the forecasting of energy consumption
explainability	Nuclear outage planning problem: medium term formulation and constraint programming
exploitability	Generalized conditional gradient and learning in potential mean field games
exploratory landscape analysis	Towards Trajectory-Based Algorithm Selection
externalities	Equilibrium Theory in Riesz Spaces under Imperfect Competition
F
Facility location problem	Intracity Placement of Charging Stations to Maximise Electric Vehicle Adoption
Factored MDP	Factored Model-based RL for Tandem Queues Resource Allocation
Fast Marching Method	A multilevel fast-marching method
Fictitious Play	Reinforcement learning method for Mean Field Games Generalized conditional gradient and learning in potential mean field games
filtering	A low-cost second-order multi-object tracking filter for WAMI surveillance
Finite Games	EPTAS for Stable Allocations in Matching Games
first-order methods	Rates of Convergences of First-Order Algorithms for Assignment Problems.
FISTA	FISTA restart using an automatic estimation of the growth parameter
Fluid models	Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic
fractal decomposition	Hyperparameter optimization of deep neural networks: Application to the forecasting of energy consumption
Fractional Programming	Solution of Fractional Quadratic Programs on the Simplex and Application to the Eigenvalue Complementarity Problem
ftrl algorithms	Refined approachability algorithms and application to regret minimization with global costs
function test	Multistage Optimization Algorithm using Chaotic Search
functional determinant	Extremal determinants of Sturm-Liouville operators on the circle
G
Game theory
Games
generalized conditional gradient	Generalized conditional gradient and learning in potential mean field games
generalized convexity	Constant Along Primal Rays Conjugacies
generalized Nash equilibrium	Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market EPTAS for Stable Allocations in Matching Games
generalized Nash equilibrium problem	A distributed algorithm for economic dispatch of prosumer networks with grid constraints
Geometric methods
global optimization	Simulated Annealing: a Review and a New Scheme Multistage Optimization Algorithm using Chaotic Search
growth parameter	FISTA restart using an automatic estimation of the growth parameter
H
Hadamard directional derivative	Characterizing the error bound properties of functions in metrizable topological vector spaces
Hamilton-Jacobi equation	Viability and Invariance in a Wasserstein Space
HAPS location	Efficient Design of a Military Multi-technology Network through MILP
Health care optimization	Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic
Hierarchical Decomposition	Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs Network Games Equilibrium Computation: Duality Extension and Coordination
Hoffman estimate	Characterizing the error bound properties of functions in metrizable topological vector spaces
Hydropower	Hydropower Datasets For SMS++
hyperbolicity	On the asymptotic behaviour of the value function in optimal control problems
hyperparameter optimization	Hyperparameter optimization of deep neural networks: Application to the forecasting of energy consumption
I
Integer programming	Planning Robustness, Research Topics on Optimization under Uncertainty Optimal pricing for electric vehicle charging with customer waiting time
interactions through the law of controls	MFG Systems with Interactions though the Law of Controls: Existence, Uniqueness and Numerical Simulations
Interdiction problem	On the Equivalence between the Blocker and the Interdiction Problem Applied to the Maximum Flow
Invited Session
K
kalman filter	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition
Kernel methods	Linearly-constrained Linear Quadratic Regulator from the viewpoint of kernel methods
L
l0 pseudonorm and rank	Constant Along Primal Rays Conjugacies
labour market	A Mean field game model for the evolution of cities
Lagrangian relaxation	MIP formulations for OWA Traveling Salesman Problems
Laplace Particle Filter	Cross-entropic optimization of landmarks selection for efficient navigation in passive estimation context
large finite game	Approximate Nash equilibria in large nonconvex aggregative games
learning	Generalized conditional gradient and learning in potential mean field games
Lexicographic Optimization	Linear Lexicographic Optimization and Preferential Bidding System
Load balancing	A Hierarchical Control Approach for Power LossMinimization and Optimal Power Flow within aMeshed DC Microgrid
Logistics	Models and Methods for New Variants of the Vehicle Routing Problem
logit	A Quadratic Regularization for the Multi-Attribute Unit-Demand Envy-Free Pricing Problem
Lojasiewicz property	FISTA restart using an automatic estimation of the growth parameter
M
machine learning	Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Two Different Scores Méthodes de prediction de vie residuelle sur des données censurés Towards Trajectory-Based Algorithm Selection
Machine learning for combinatorial optimization	Learning Structured Approximations of Operations Research Problems
Maintenance	Stochastic simulation for discrete event systems based on maintenance optimization
Majorization-minimization	Majorization-Minimization algorithms : New convergence results in a stochastic setting
maritime operations planning	Stochastic Dynamic Programming for Maritime Operations Planning
market equilibria	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
Markets	Network Games Equilibrium Computation: Duality Extension and Coordination
Matching with Transfer	EPTAS for Stable Allocations in Matching Games
Mathematical Optimization	Market Integration of Behind-the-Meter Residential Energy Storage
Mathematical Program with Complementarity Constraints	A Bi-level Optimization Problem to Estimate Enzyme Catalytic Rates from a Proteomic-constrained Metabolic Model
Mathematical programming
Maximum covering model	Intracity Placement of Charging Stations to Maximise Electric Vehicle Adoption
Maximum Flow	On the Equivalence between the Blocker and the Interdiction Problem Applied to the Maximum Flow
Mean Field Games	Reinforcement learning method for Mean Field Games A Mean field game model for the evolution of cities Non-smooth Minimal-Time Mean Field Game with State Constraints Generalized conditional gradient and learning in potential mean field games
mean payoff games	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
mean-field control	Control of state-constrained McKean-Vlasov equations: application to portfolio selection
Mean-Field Optimal Control	Fine Properties of the Value Function in Mean-Field Optimal Control
Meshed DC microgrid	A Hierarchical Control Approach for Power LossMinimization and Optimal Power Flow within aMeshed DC Microgrid
Metabolic network	A Bi-level Optimization Problem to Estimate Enzyme Catalytic Rates from a Proteomic-constrained Metabolic Model
MFGC	MFG Systems with Interactions though the Law of Controls: Existence, Uniqueness and Numerical Simulations
military network design	Efficient Design of a Military Multi-technology Network through MILP
Minimum Time	A multilevel fast-marching method
MINLP	Mixed Integer Nonlinear Approaches for the Satellite Constellation Design Problem
Mixed integer programming
Mixed Integer Programming (MIP)	MIP formulations for Energy Optimization in Multi-Hop Wireless Networks
Mixed-integer non-linear programming	Clique Merging Algorithms to Solve SemidefiniteRelaxations of Optimal Power Flow Problems
Mixed-Integer Program	MIP formulations for OWA Traveling Salesman Problems
Mixed-integer programming	Nuclear outage planning problem: New challenges on long term horizons A novel mixed-integer description within the combined use of MPC and polyhedral potential field
Model predictive control	Model Predictive Control Framework for Congestion Management with Large Batteries in Sub-Transmission Grid
Model Predictive Control (MPC)	A novel mixed-integer description within the combined use of MPC and polyhedral potential field
monotone inclusions	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
montone operators	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Multi-agent systems
Multi-objective optimization	A First Theoretical Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
multi-target tracking	A low-cost second-order multi-object tracking filter for WAMI surveillance
Multilevel Grids	A multilevel fast-marching method
Multistage Stochastic Programs	Risk-Averse Stochastic Programming and Distributionally Robust Optimization Via Operator Splitting
N
Nash equilibria	A Multi-Leader-Follower Game for Energy Demand-Side Management
Nash Fairness	Nash Fairness solution for balanced TSP
Network Game	Network Games Equilibrium Computation: Duality Extension and Coordination
Network optimization	MIP formulations for Energy Optimization in Multi-Hop Wireless Networks
neural networks	Control of state-constrained McKean-Vlasov equations: application to portfolio selection
Non-convex optimization	Resource allocation and optimization for the non-orthogonal multiple access
non-convexities	Equilibrium Theory in Riesz Spaces under Imperfect Competition
Non-orthogonal multiple access	Resource allocation and optimization for the non-orthogonal multiple access
nonconvex game	Approximate Nash equilibria in large nonconvex aggregative games
nonconvex MINLP	Optimizing over Nonlinear Networks with Duality Cuts
nonlinear networks	Optimizing over Nonlinear Networks with Duality Cuts
Nonlinear systems	On the Convergence of Sequential Convex Programming for Non-Linear Optimal Control
nonsmooth analysis	Non-smooth Minimal-Time Mean Field Game with State Constraints
Nonsmooth optimization	ACOPF: Nonsmooth optimization to improve the computation of SDP bounds
normal cones	Equilibrium Theory in Riesz Spaces under Imperfect Competition
nuclear outage planning	Nuclear outage planning problem: medium term formulation and constraint programming
Nuclear outage planning problem	Nuclear outage planning problem: New challenges on long term horizons
Numerical methods
numerical optimization	Towards Trajectory-Based Algorithm Selection
O
Obstacle avoidance	A novel mixed-integer description within the combined use of MPC and polyhedral potential field
online learning	Refined approachability algorithms and application to regret minimization with global costs
Online optimization	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition Online Feedback Optimization with Applications to Power Systems
Operations research	Models and Methods for New Variants of the Vehicle Routing Problem
optimal assignment	Rates of Convergences of First-Order Algorithms for Assignment Problems.
Optimal control	Linearly-constrained Linear Quadratic Regulator from the viewpoint of kernel methods Optimal control problem on Riemannian manifolds under probability knowledge of the initial condition Extremal determinants of Sturm-Liouville operators on the circle On the Convergence of Sequential Convex Programming for Non-Linear Optimal Control Non-smooth Minimal-Time Mean Field Game with State Constraints Fuel Optimal Planetary Landing with Thrust Pointing and Glide-slope Constraints Viability and Invariance in a Wasserstein Space Two optimisation problems in population dynamics
Optimal Power Flow	Clique Merging Algorithms to Solve SemidefiniteRelaxations of Optimal Power Flow Problems
Optimal Trajectory	A multilevel fast-marching method
Optimal transport	A Mean field game model for the evolution of cities Viability and Invariance in a Wasserstein Space Differentiating through Optimal Transport
Optimisation stochastique	Optimisation du planning de production et de l'approvisionnement en énergie d'un site industriel
Optimizaiton of energy
Optimization	Stochastic simulation for discrete event systems based on maintenance optimization Shared autonomous electric vehicles transport scheduling with charging considerations: optimization-based planning approaches Distributed Zero-Order Optimization under Adversarial Noise
Optimization of energy	Synchronizing Energy Production and Vehicle Routing
Optimization of nuclear production
optimization under uncertainty	Planning Robustness, Research Topics on Optimization under Uncertainty
OR in energy	Distribution locational marginal prices via random block-coordinate descent methods
Ordered Weighted Average	MIP formulations for OWA Traveling Salesman Problems
outage planning	Planning Robustness, Research Topics on Optimization under Uncertainty
P
parallel computing	Hyperparameter optimization of deep neural networks: Application to the forecasting of energy consumption
Parameter identification	A Bi-level Optimization Problem to Estimate Enzyme Catalytic Rates from a Proteomic-constrained Metabolic Model
Pareto-optimal	Nash Fairness solution for balanced TSP
PCP	Approximability of Robust Network Designin Undirected Graphs
Peer-to-peer market	Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
Persistent excitation	Worst exponential decay rate for degenerate gradient flows subject to persistent excitation
Planetary Landing	Fuel Optimal Planetary Landing with Thrust Pointing and Glide-slope Constraints
Planning de production	Optimisation du planning de production et de l'approvisionnement en énergie d'un site industriel
Plasma Physics	Optimal Shape of Stellarators for Magnetic Confinement Fusion
polyhedral complex	A Quadratic Regularization for the Multi-Attribute Unit-Demand Envy-Free Pricing Problem
Polyhedron	Multistage Stochastic Linear Programming and Polyhedral Geometry
Polynomial time approximation	Resource allocation and optimization for the non-orthogonal multiple access
Posterior Cramer Rao Bound	Cross-entropic optimization of landmarks selection for efficient navigation in passive estimation context
Potential field	A novel mixed-integer description within the combined use of MPC and polyhedral potential field
Power dissipation	A Hierarchical Control Approach for Power LossMinimization and Optimal Power Flow within aMeshed DC Microgrid
Power systems	Online Feedback Optimization with Applications to Power Systems
Preferential Bidding Systems	Linear Lexicographic Optimization and Preferential Bidding System
Pricing	Network Games Equilibrium Computation: Duality Extension and Coordination
pricing bilevel problem	A Quadratic Regularization for the Multi-Attribute Unit-Demand Envy-Free Pricing Problem
primal-dual algorithms	Rates of Convergences of First-Order Algorithms for Assignment Problems.
privacy	Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
probabilistic state constraints	Control of state-constrained McKean-Vlasov equations: application to portfolio selection
probabilistic-robust	Adaptive grid refinement for optimization problems with probabilistic/robust (probust) constraints
Proportional-fair scheduling	Nash Fairness solution for balanced TSP
Prosumer	Market Integration of Behind-the-Meter Residential Energy Storage
prosumers	A distributed algorithm for economic dispatch of prosumer networks with grid constraints
proximal point algorithms	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Q
Queueing games	Coupled queueing and charging game model with power capacity optimization
R
Radio resource management	Resource allocation and optimization for the non-orthogonal multiple access
reformulations/numerical approaches	A Multi-Leader-Follower Game for Energy Demand-Side Management
regret minimization with global costs	Refined approachability algorithms and application to regret minimization with global costs
Reinforcement Learning	Reinforcement learning method for Mean Field Games Factored Model-based RL for Tandem Queues Resource Allocation
relays placement	Efficient Design of a Military Multi-technology Network through MILP
Remaining Useful Life	Méthodes de prediction de vie residuelle sur des données censurés
Residential Energy Storage	Market Integration of Behind-the-Meter Residential Energy Storage
Resource Allocation	Factored Model-based RL for Tandem Queues Resource Allocation
restart	FISTA restart using an automatic estimation of the growth parameter
Reusable Launch Vehicle	Fuel Optimal Planetary Landing with Thrust Pointing and Glide-slope Constraints
Ride-sharing	Shared autonomous electric vehicles transport scheduling with charging considerations: optimization-based planning approaches
Riesz spaces	Equilibrium Theory in Riesz Spaces under Imperfect Competition
Robust Network Design	Approximability of Robust Network Designin Undirected Graphs
Robust optimization	Planning Robustness, Research Topics on Optimization under Uncertainty
runtime analysis	A First Theoretical Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
S
Satellite constellation design	Mixed Integer Nonlinear Approaches for the Satellite Constellation Design Problem
scheduling	Nuclear outage planning problem: medium term formulation and constraint programming
Semiconcavity Estimates	Fine Properties of the Value Function in Mean-Field Optimal Control
Semidefinite programming	Clique Merging Algorithms to Solve SemidefiniteRelaxations of Optimal Power Flow Problems
Sensitivity Relations	Fine Properties of the Value Function in Mean-Field Optimal Control
Sequential Convex Programming	On the Convergence of Sequential Convex Programming for Non-Linear Optimal Control
Sequential Monte-Carlo	Simulated Annealing: a Review and a New Scheme
Shape optimisation	Two optimisation problems in population dynamics
Shape Optimization	Optimal Shape of Stellarators for Magnetic Confinement Fusion
Shapley-Folkman lemma	Approximate Nash equilibria in large nonconvex aggregative games
Simplex	Multistage Stochastic Linear Programming and Polyhedral Geometry
Simulated Annealing	Simulated Annealing: a Review and a New Scheme
single machine scheduling problem	Learning Structured Approximations of Operations Research Problems
Smart Charging	Management of electric vehicles fleet by decomposition method approach Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators
SMS++	Hydropower Datasets For SMS++
sparse optimization	Constant Along Primal Rays Conjugacies
splitting algorithms	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Splitting Methods	Risk-Averse Stochastic Programming and Distributionally Robust Optimization Via Operator Splitting
Stable Matching	EPTAS for Stable Allocations in Matching Games
Stable sets	Algorithmic aspect of core nonemptiness and core stability
State Constraints	Linearly-constrained Linear Quadratic Regulator from the viewpoint of kernel methods Non-smooth Minimal-Time Mean Field Game with State Constraints
state-space model	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition
Stochastic gradient descent	Majorization-Minimization algorithms : New convergence results in a stochastic setting
Stochastic models	Coupled queueing and charging game model with power capacity optimization
Stochastic optimisation	Stochastic Two-stage Optimisation for the Operation of a Multi-services Virtual Power Plant
Stochastic Optimization	Multistage Stochastic Linear Programming and Polyhedral Geometry Stochastic Dual Dynamic Programming and Lagrangian decomposition for seasonal storage valuation Parametric stochastic optimization for day-ahead and intraday co-management of a power unit Majorization-Minimization algorithms : New convergence results in a stochastic setting Stochastic Dynamic Programming for Maritime Operations Planning
Stochastic Simulation	Stochastic simulation for discrete event systems based on maintenance optimization
stochastic vehicle scheduling problem	Learning Structured Approximations of Operations Research Problems
Strongly regular point	Characterizing the error bound properties of functions in metrizable topological vector spaces
structured approximation	Learning Structured Approximations of Operations Research Problems
Sturm-Liouville operators	Extremal determinants of Sturm-Liouville operators on the circle
Sub-Transmission Grid	Model Predictive Control Framework for Congestion Management with Large Batteries in Sub-Transmission Grid
Subspace acceleration	Majorization-Minimization algorithms : New convergence results in a stochastic setting
Sum function	A novel mixed-integer description within the combined use of MPC and polyhedral potential field
sum-aggregative games	Approximate Nash equilibria in large nonconvex aggregative games
Survival Analysis	Méthodes de prediction de vie residuelle sur des données censurés
system of coupled PDEs	MFG Systems with Interactions though the Law of Controls: Existence, Uniqueness and Numerical Simulations
T
Tandem Queue	Factored Model-based RL for Tandem Queues Resource Allocation
TBA1	Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling Long-term planning in the electricity system: introduction of a few key modeling aspects
TBA2	Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling Long-term planning in the electricity system: introduction of a few key modeling aspects
TBA3	Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling Long-term planning in the electricity system: introduction of a few key modeling aspects
theory	Parameter-Dependent Performance Bounds for Evolutionary Algorithms
time series	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition
time-to-event	Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Two Different Scores
Time-varying systems	Worst exponential decay rate for degenerate gradient flows subject to persistent excitation
Translation invariant metric	Characterizing the error bound properties of functions in metrizable topological vector spaces
Traveling Salesman Problem	MIP formulations for OWA Traveling Salesman Problems
Trilevel optimization	Hierarchical Coupled Driving-and-Charging Model of Electric Vehicles, Stations and Grid Operators
tropical geometry	Tropical linear regression and low-rank approximation --- a first step in tropical data analysis
turnpike	On the asymptotic behaviour of the value function in optimal control problems
U
Unsplittable Multi-Commodity Flow	MIP formulations for Energy Optimization in Multi-Hop Wireless Networks
V
Value Function	On the asymptotic behaviour of the value function in optimal control problems Fine Properties of the Value Function in Mean-Field Optimal Control
variational bayes	VIKING: Variational Bayesian Variance Tracking Winning an Electricity Load Forecasting Competition
variational equilibrium	Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
Vehicle routing	Models and Methods for New Variants of the Vehicle Routing Problem Synchronizing Energy Production and Vehicle Routing
viability theory	Viability and Invariance in a Wasserstein Space
Virtual power plant	Stochastic Two-stage Optimisation for the Operation of a Multi-services Virtual Power Plant
Viscosity theory	Optimal control problem on Riemannian manifolds under probability knowledge of the initial condition
W
WAMI surveillance	A low-cost second-order multi-object tracking filter for WAMI surveillance
Wasserstein Calculus	Fine Properties of the Value Function in Mean-Field Optimal Control
Wasserstein distance	Differentiating through Optimal Transport
Wasserstein spaces	Optimal control problem on Riemannian manifolds under probability knowledge of the initial condition
water distribution	Optimizing over Nonlinear Networks with Duality Cuts
Weighted Sum Method	Nash Fairness solution for balanced TSP
Z
Zero-order Optimization	Distributed Zero-Order Optimization under Adversarial Noise

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