PGMODAYS 2022: PGMODAYS 2022

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

A
Absolute Value Equation	Degree Theory for the Linear Complementarity Problem and related Piecewise Linear Systems
AC-OPF	Moment relaxations for large scale AC-OPF problems
Airlines	Pricing Bundles for Airline Revenue Management
algorithm configuration	AutoML - Benefits, Reality, Future
algorithm selection	AutoML - Benefits, Reality, Future
Asynchronous algorithms	Asynchronous Optimization of Relatively Smooth Objectives
Asynchronous approach	Asynchronous Bundle Methods
automated machine learning	AutoML - Benefits, Reality, Future
Automatic differentiation	A Glance at Nonsmooth Automatic differentiation
AutoML	Evolving Directed Acyclic Graphs for Automated Deep Learning: application to short-term load forecasting
avoidance of traps	Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
B
balanced operator	Crossover for Cardinality Constrained Optimization
Bayesian optimization	How Principal Component Analysis can improve Bayesian Optimization at High Dimensionality
benchmarking	Parameter-Dependent Performance Bounds for Evolutionary Algorithms
Bi-Criteria Decision Making	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
Bi-Level	Surrogate Component Approach for Self-Consumption Management
Bi-Objective Optimization	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
Bi-Objective Shortest Path	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
Bi-Objective TSP	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
Bilevel optimization	An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets A branch-and-bound method for single-leader-multi-follower games with energy management applications
Bilevel programming	Bilevel Optimization Under Uncertainty A multi-objective exposure-oriented sensor location problem for border security in 3D
Binary Quadratic Optimization	Smart Charging under Uncertainty on Arrival and Departure Dates: a Robust Optimization Approach
Bioeconomic models	Optimal control of a bioeconomic model applied to the recovery of household waste
Biomedicine	Monotonic Ensemble Classifiers for Biomedical Applications
black-box optimization	How Principal Component Analysis can improve Bayesian Optimization at High Dimensionality Per-Run Algorithm Selection (and Beyond) Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard Simulation and optimal control of heating and cooling systems: A case study of a commercial building
Blackbox optimization	Stochastic blackbox optimization for complex engineering models with dynamical constraints
Boosted DCA	A Boosted DC Algorithm for Non-Differentiable DC Components with Non-Monotone Line Search
Border surveillance	A multi-objective exposure-oriented sensor location problem for border security in 3D
Branch and Bound	Discrete Optimization Methods for Problems with the L0-Pseudonorm
Branch-and-Cut	Improving subtour constraints generation in Branch-and-Cut algorithms for TSP with Machine Learning
branch-and-cut algorithm	Robust MILP formulations for the two-stage p-Center Problem
Bregman distance	Asynchronous Optimization of Relatively Smooth Objectives
Bregman Proximal Gradient Algorithms	Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
Bundle Methods	Asynchronous Bundle Methods Stochastic Dual Dynamic Programming and Lagrangian decomposition for Seasonal Storage Valuation in SMS++ Minimizing the difference of convex and weakly convex functions via bundle method Some splitting methods from a nonsmooth optimizer's perspective
Bundling	Pricing Bundles for Airline Revenue Management
C
Cancer	Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local Search Optimal Control of Tumor Immune Systems under Parametric Uncertainties
Capital distribution	A mean field model for the interactions between firms on the markets of their inputs
Carbon emissions	A static game model for analyzing country carbon emissions
Cardinality	Entropic Lower Bound of Cardinality for Sparse Optimization
Chance constraints	A Maximum Principle for some Chance-Constrained Control Problems
Charging station	Parking duration optimization for electric vehicles in a loss queueing system
Choice modelling	Pricing Bundles for Airline Revenue Management
Clarke subgradient	Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
Classification	Monotonic Ensemble Classifiers for Biomedical Applications
coflow scheduling	A Fairness Framework for Coflow Scheduling
Colored Petri Net	Colored Petri-Nets and Synchronous Dataflow Graphs to optimize a medical evacuation
column generation	Linear lexicographic optimization and preferential bidding system Overlapping decomposition in column generation
combinatorial optimization	Efficient Quantum Encodings for Combinatorial Optimization Problems: The Sub-Graph Isomorphism Case Learning with sign-dependent combinatorial optimization layers: a multiplicative perturbation approach Structured learning for vehicle routing problems
Comparison principle	Some Optimal Control Problems Arising From Tumour Containment
Complementarity Problems	A Two-Phase Sequential Algorithm for Global Optimization of the Standard Quadratic Programming Problem
Computational complexity	On the Computational Complexity of the Moment-SOS Hierarchy for Polynomial Optimization
Computational Geometry	Subset Sampling for Low-Discrepancy Point Sets
Conic optimization	Constrained Smoothing and Out-of-range Prediction by Means of a Mathematical Optimization Approach
conservative gradient	Subgradient Sampling in Nonsmooth Nonconvex Minimization
control constraints	Interior point methods in optimal control problems: Convergence results and primal-dual solving algorithm
Convex nondifferentiable optimization	Asynchronous Bundle Methods
convex optimization	Periodical Infinite Horizon Optimization for Multistage Problems
Convex relaxations	Smart Charging under Uncertainty on Arrival and Departure Dates: a Robust Optimization Approach
convex stochastic optimization in Banach spaces	State constraints in stochastic optimization
Correlative sparsity	Sparse polynomial optimization: old and new
crossover	Crossover for Cardinality Constrained Optimization
Cryptography	Attaque par canaux cachés quantiques
Cutting-Planes	Projective Cutting Planes with multiple cuts per iteration for robust linear programming
cylindrical algebraic decomposition of semi-algebraic sets	Stability analysis of controlled resource allocation in bacterial models
D
Data science	Constrained Smoothing and Out-of-range Prediction by Means of a Mathematical Optimization Approach
DC function	A Boosted DC Algorithm for Non-Differentiable DC Components with Non-Monotone Line Search
DC functions	Viscosity solutions of first order Hamilton-Jacobi equations in locally compact Hadamard spaces
DC Microgrids	Optimal Voltage References for DC Microgrids using an Economic MPC Approach
DC Programming	Minimizing the difference of convex and weakly convex functions via bundle method
DCA	A Boosted DC Algorithm for Non-Differentiable DC Components with Non-Monotone Line Search
Decarbonization	Regional decarbonization studies: a first step to assess how to share decarbonization effort at the scale of a country. The example of Centre-Val de Loire Carbon offsetting: a game perspective
Decentralized Coordination	Evolutionary Game of Coordination for Formation Flying
Decomposition	Regularized smoothing for solution mappings of convex problems, with applications to two-stage stochastic programming and some hierarchical problems Decomposition Methods for the Multi-Network Optimal Power Flow Problem Progressive decoupling of linkages in a class of optimization problems with non-elicitable convexity
Degree Theory	Degree Theory for the Linear Complementarity Problem and related Piecewise Linear Systems
dengue	Vector-borne Disease Outbreak Control via Instant Vector Releases
deterministic optimal control	Neural Networks for First Order HJB Equations
Differential Games	Evolutionary Game of Coordination for Formation Flying
Differential inclusions	Lyapunov Stability of the Subgradient Method with Constant Step Size
dimensionality reduction	How Principal Component Analysis can improve Bayesian Optimization at High Dimensionality
Directed Acyclic Graphs	Evolving Directed Acyclic Graphs for Automated Deep Learning: application to short-term load forecasting
Discontinuous coverage	The Satellite Constellation Design Problem via MI(N)LP Boosted with a Genetic Algorithm
discontinuous Hamiltonians	Viscosity solutions of first order Hamilton-Jacobi equations in locally compact Hadamard spaces
Discrepancy	Subset Sampling for Low-Discrepancy Point Sets
Distributed Control	Evolutionary Game of Coordination for Formation Flying
Distributed optimization	Asynchronous Optimization of Relatively Smooth Objectives
Drift Analysis	Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard
Drug resistance	Some Optimal Control Problems Arising From Tumour Containment
duality	State constraints in stochastic optimization
dynamic algorithm selection	Per-Run Algorithm Selection (and Beyond)
Dynamic pricing	Pricing Bundles for Airline Revenue Management
dynamic programming	An exact method for a problem of time-slot pricing
dynamic programming principle	Neural Networks for First Order HJB Equations
Dynamical constraints	Stochastic blackbox optimization for complex engineering models with dynamical constraints
Dynamical system	Stability and optimization of the chemostat system including a linear coupling term between species
E
Economic dispatch	The Unit Commitment problem with integration of Local Energy Communities
Economics	A Mean Field Game model in Economics with spatial interactions in the human capital
Electric vehicles	Parking duration optimization for electric vehicles in a loss queueing system
Electrical Vehicles	Smart Charging under Uncertainty on Arrival and Departure Dates: a Robust Optimization Approach
elf-replicator model of bacteria	Stability analysis of controlled resource allocation in bacterial models
Energy	Quantum Operations Research The Unit Commitment problem with integration of Local Energy Communities Regional decarbonization studies: a first step to assess how to share decarbonization effort at the scale of a country. The example of Centre-Val de Loire
Energy efficiency	Simulation and optimal control of heating and cooling systems: A case study of a commercial building
Energy management	Multi-parameter data for energy optimisation: the Energy4Climate building-based demonstrators Newton Method for Stochastic Control Problems: Application to Decentralized Control of Energy Storage Systems Energy management in a hydrogen-based microgrid through constrained optimization
Energy optimization	Asynchronous Bundle Methods
Energy savings	A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
Energy system modelling	HiGHS: The missing link for fully open-source energy system modelling
Entropic Regularization	Feature Projection for Optimal Transport
Entropy	Entropic Lower Bound of Cardinality for Sparse Optimization
Epidemiology	Peak minimization for compartmental models
Equilibrium Learning	Balancing Efficiency and Privacy in a Decision-Dependent Network Game
error bound	Quadratic Error Bound of the Smoothed Gap and the Restarted Averaged Primal-Dual Hybrid Gradient
error estimates	Error estimates of a $\theta$-scheme for second order mean field games
Evolutionary Algorithm	Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard
evolutionary algorithms	Crossover for Cardinality Constrained Optimization Parameter-Dependent Performance Bounds for Evolutionary Algorithms
Evolutionary Dynamics	Evolutionary Game of Coordination for Formation Flying
Evolutionary Games	Evolutionary Game of Coordination for Formation Flying
Evolving Search Space	Evolving Directed Acyclic Graphs for Automated Deep Learning: application to short-term load forecasting
exact relaxations	Continuous nonconvex relaxations of the l0 pseudonorm
exploratory landscape analysis	Per-Run Algorithm Selection (and Beyond)
Exponential Families	Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
F
fairness	A Fairness Framework for Coflow Scheduling
Feasibility	One-to-Many Matching Games
Feature Pair Selection	Monotonic Ensemble Classifiers for Biomedical Applications
finite adaptability	Robust multi-stage optimization for glass production
Finite Capacity Queues	Mean field analysis of stochastic networks with reservation
finite-difference scheme	Error estimates of a $\theta$-scheme for second order mean field games
first-order Hamilton Jacobi Bellman equations	Neural Networks for First Order HJB Equations
Fisher information	Mean-field Optimization regularized by Fisher Information
Forward-Backward Stochastic Differential Equations	Newton Method for Stochastic Control Problems: Application to Decentralized Control of Energy Storage Systems
front propagation	Neural Networks for First Order HJB Equations
G
Game Learning Algorithms	Evolutionary Game of Coordination for Formation Flying
Game theory	A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets A static game model for analyzing country carbon emissions Carbon offsetting: a game perspective
Games with correlated constaints	Intelligent Pricing in Electric Networks
gas pipelines	Design and dimensioning of natural gas pipelines with hydrogen injection
Gene signatures	A Framework for Identifying Resistance-related Gene Signatures in scRNA-seq data using Non-Negative Matrix Factorization
generalized convexity	Hidden Convexity in the l0 Pseudonorm Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
generalized Nash equilibrium	An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets
Genetic Algorithm	The Satellite Constellation Design Problem via MI(N)LP Boosted with a Genetic Algorithm Evolving Directed Acyclic Graphs for Automated Deep Learning: application to short-term load forecasting
genetic algorithms	New Runtime Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
Global Optimization	How Principal Component Analysis can improve Bayesian Optimization at High Dimensionality A Two-Phase Sequential Algorithm for Global Optimization of the Standard Quadratic Programming Problem
Global stability	Stability and optimization of the chemostat system including a linear coupling term between species
gradient flow	Mean-field Optimization regularized by Fisher Information
Gradient Method	Balancing Efficiency and Privacy in a Decision-Dependent Network Game
Graphical Processing Units (GPU)	MadNLP: a structure-exploiting interior-point package for HPC
Grey-box model	Simulation and optimal control of heating and cooling systems: A case study of a commercial building
grid connected mini-grids	Increasing electricity reliability in peri-urban areas of Sub-Saharan Africa with joint chance constraints
Grid usage pricing	A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets
Grover's algorithm	Attaque par canaux cachés quantiques
H
Hadamard spaces	Viscosity solutions of first order Hamilton-Jacobi equations in locally compact Hadamard spaces
Hamilton-Jacobi equations	Viscosity solutions of first order Hamilton-Jacobi equations in locally compact Hadamard spaces
Heating and cooling	Simulation and optimal control of heating and cooling systems: A case study of a commercial building
Heterogeneous agents	A mean field model for the interactions between firms on the markets of their inputs
Hierarchical decision making	Bilevel Optimization Under Uncertainty
High Performance Computing (HPC)	MadNLP: a structure-exploiting interior-point package for HPC
hybrid maximum principle	Hybrid optimal control including a regionally constant parameter and applications
hybrid pipelines	Structured learning for vehicle routing problems
Hydrogen networks	Design and dimensioning of natural gas pipelines with hydrogen injection
Hydrogen-based microgrid	Energy management in a hydrogen-based microgrid through constrained optimization
Hyperplane arrangements	Local minima and their basins of attractions for piecewise affine functions with polyhedral support
I
Ideal sparsity	Sparse polynomial optimization: old and new
image reconstruction	Image Reconstruction: Superiorization versus Regularization
Implicit Function Theorem	Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
industrial eco-parks	A branch-and-bound method for single-leader-multi-follower games with energy management applications
Infinite horizon	Periodical Infinite Horizon Optimization for Multistage Problems
Interior point method	HiGHS: The missing link for fully open-source energy system modelling
Interior point methods	Interior point methods in optimal control problems: Convergence results and primal-dual solving algorithm Applications of Interior Point methods: from Sparse Approximations to Discrete Optimal Transport
interior points methods	No Self-Concordant Barrier Interior Point Method Is Strongly Polynomial
Interior-point method	MadNLP: a structure-exploiting interior-point package for HPC
intersection cuts	On a Concept of a Generic Intersection Cut Callback
Interval Analysis	Evolutionary Game of Coordination for Formation Flying
Interval methods	Global Solution of Quadratic Programs by Interval Methods and Convex Reformulations
Invariance	Evolutionary Game of Coordination for Formation Flying
iterative algorithms	Image Reconstruction: Superiorization versus Regularization
J
Julia	Structured learning for vehicle routing problems
K
KL property	A Boosted DC Algorithm for Non-Differentiable DC Components with Non-Monotone Line Search
L
l0 optimization	Continuous nonconvex relaxations of the l0 pseudonorm
l0 pseudonorm	Hidden Convexity in the l0 Pseudonorm
L0-Pseudonorm	Discrete Optimization Methods for Problems with the L0-Pseudonorm
Lagrangian Relaxation	Stochastic Dual Dynamic Programming and Lagrangian decomposition for Seasonal Storage Valuation in SMS++
Large scale optimization	Some splitting methods from a nonsmooth optimizer's perspective
Linear Complementarity Problem	Degree Theory for the Linear Complementarity Problem and related Piecewise Linear Systems
linear convergence	Quadratic Error Bound of the Smoothed Gap and the Restarted Averaged Primal-Dual Hybrid Gradient
linear lexicographic optimization	Linear lexicographic optimization and preferential bidding system
Linear programming	HiGHS: The missing link for fully open-source energy system modelling
Linear Relaxation	Decomposition Methods for the Multi-Network Optimal Power Flow Problem
Local energy markets	A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets
Local Search	Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local Search
Lower Bound	Entropic Lower Bound of Cardinality for Sparse Optimization
Lyapunov stability	Lyapunov Stability of the Subgradient Method with Constant Step Size
M
machine learning	Learning with sign-dependent combinatorial optimization layers: a multiplicative perturbation approach Improving subtour constraints generation in Branch-and-Cut algorithms for TSP with Machine Learning Structured learning for vehicle routing problems A Glance at Nonsmooth Automatic differentiation
Machine-Type Communications	NOMA-based Power Control for Machine-Type Communications: A Mean Field Game Approach
Market	Balancing Efficiency and Privacy in a Decision-Dependent Network Game
Master Equation	Mean Field Games with Incomplete Information
Matching with contracts	One-to-Many Matching Games
maximum cost	Peak minimization for compartmental models
McKean-Vlasov PDE	Recent aspects of mean field control
mean field control	A mean field control approach for smart charging
Mean field equilibrium	A mean field model for the interactions between firms on the markets of their inputs
Mean Field Games	Mean Field Games with Incomplete Information Error estimates of a $\theta$-scheme for second order mean field games Scaling up Multi-agent Reinforcement Learning with Mean Field Games and Vice-versa A Mean Field Game model in Economics with spatial interactions in the human capital
mean field limit	A mean field control approach for smart charging
Mean field optimization	Mean-field Optimization regularized by Fisher Information
Mean Field Theory	NOMA-based Power Control for Machine-Type Communications: A Mean Field Game Approach
Mean-Field	Mean field analysis of stochastic networks with reservation
Mean-field Control	Mean-field Control under State Constraint: Optimality Conditions and Mean-field Limit Recent aspects of mean field control
Mean-field Game	Mean-field Control under State Constraint: Optimality Conditions and Mean-field Limit
Mean-field games	A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
Mean-field Limit	Mean-field Control under State Constraint: Optimality Conditions and Mean-field Limit
meta-algorithms	AutoML - Benefits, Reality, Future
MI(N)LP	The Satellite Constellation Design Problem via MI(N)LP Boosted with a Genetic Algorithm
MILP	A multi-objective exposure-oriented sensor location problem for border security in 3D
MINLP	Design and dimensioning of natural gas pipelines with hydrogen injection Global Solution of Quadratic Programs by Interval Methods and Convex Reformulations
MINLPs	On a Concept of a Generic Intersection Cut Callback
Mixed Integer Programs	Discrete Optimization Methods for Problems with the L0-Pseudonorm
Mixed-Integer Linear Programming	Subset Sampling for Low-Discrepancy Point Sets Decomposition Methods for the Multi-Network Optimal Power Flow Problem
Mixed-Integer Non-Linear Programming	Decomposition Methods for the Multi-Network Optimal Power Flow Problem
Model Predictive Control	Optimal Voltage References for DC Microgrids using an Economic MPC Approach Energy management in a hydrogen-based microgrid through constrained optimization
Moment Hierarchy	Moment relaxations for large scale AC-OPF problems
Moments optimization	Optimal Control of Tumor Immune Systems under Parametric Uncertainties
Monotonic Regression	Monotonic Ensemble Classifiers for Biomedical Applications
Monte Carlo method	Mean-field Optimization regularized by Fisher Information
Moving Horizon Estimation	Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
Multi-Agent Systems	Scaling up Multi-agent Reinforcement Learning with Mean Field Games and Vice-versa Evolutionary Game of Coordination for Formation Flying
multi-objective optimization	New Runtime Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
multi-parameter data	Multi-parameter data for energy optimisation: the Energy4Climate building-based demonstrators
multi-stage optimization	Robust multi-stage optimization for glass production
Multimodal Optimization	Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local Search
multistage problems	Periodical Infinite Horizon Optimization for Multistage Problems
N
Networks	Viscosity solutions of first order Hamilton-Jacobi equations in locally compact Hadamard spaces
Neural Architecture Search	Evolving Directed Acyclic Graphs for Automated Deep Learning: application to short-term load forecasting
Neural differential equations	Stochastic blackbox optimization for complex engineering models with dynamical constraints
Neural Networks	Local minima and their basins of attractions for piecewise affine functions with polyhedral support Neural Networks for First Order HJB Equations
Newton method	Newton Method for Stochastic Control Problems: Application to Decentralized Control of Energy Storage Systems
NOMA	NOMA-based Power Control for Machine-Type Communications: A Mean Field Game Approach
non monotone cost	A Mean Field Game model in Economics with spatial interactions in the human capital
non separable Hamiltonian	A Mean Field Game model in Economics with spatial interactions in the human capital
non-convex continuous penalties	Continuous nonconvex relaxations of the l0 pseudonorm
Non-Linear Markov Process	Mean field analysis of stochastic networks with reservation
non-monotone line search	A Boosted DC Algorithm for Non-Differentiable DC Components with Non-Monotone Line Search
Non-negative matrix factorization	A Framework for Identifying Resistance-related Gene Signatures in scRNA-seq data using Non-Negative Matrix Factorization
non-smooth optimization	Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
Nonconvex Optimization	Moment relaxations for large scale AC-OPF problems Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions Progressive decoupling of linkages in a class of optimization problems with non-elicitable convexity
nonconvexity	On a Concept of a Generic Intersection Cut Callback
Nonlinear Observability	Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
Nonlinear programming	Spectral constraints in nonlinear programming
nonlinear Schrodinger operator	Mean-field Optimization regularized by Fisher Information
Nonsmooth OPtimization	Regularized smoothing for solution mappings of convex problems, with applications to two-stage stochastic programming and some hierarchical problems Minimizing the difference of convex and weakly convex functions via bundle method A Glance at Nonsmooth Automatic differentiation
Normalized equilibrium	Intelligent Pricing in Electric Networks
numerical method	Error estimates of a $\theta$-scheme for second order mean field games
O
o-minimal structure	Subgradient Sampling in Nonsmooth Nonconvex Minimization
online deep learning	Subgradient Sampling in Nonsmooth Nonconvex Minimization
Open-source software	HiGHS: The missing link for fully open-source energy system modelling
Operation	Increasing electricity reliability in peri-urban areas of Sub-Saharan Africa with joint chance constraints
operation research	Risk management via optimal (partial) transport
Optimal control	Hybrid optimal control including a regionally constant parameter and applications Optimal Control of Tumor Immune Systems under Parametric Uncertainties Interior point methods in optimal control problems: Convergence results and primal-dual solving algorithm Some Optimal Control Problems Arising From Tumour Containment Peak minimization for compartmental models Simulation and optimal control of heating and cooling systems: A case study of a commercial building Optimal control of a bioeconomic model applied to the recovery of household waste A turnpike property for an optimal control problem with chance constraints Stability and optimization of the chemostat system including a linear coupling term between species Recent aspects of mean field control
Optimal control problems with uncertainties	A Maximum Principle for some Chance-Constrained Control Problems
optimal epidemic vector control	Vector-borne Disease Outbreak Control via Instant Vector Releases
Optimal Power Flow	Spectral constraints in nonlinear programming Decomposition Methods for the Multi-Network Optimal Power Flow Problem
optimal resource allocation	Stability analysis of controlled resource allocation in bacterial models
Optimal Transport	Risk management via optimal (partial) transport Feature Projection for Optimal Transport A simple city equilibrium model with an application to teleworking Applications of Interior Point methods: from Sparse Approximations to Discrete Optimal Transport
Optimality conditions	State constraints in stochastic optimization
optimisation	Multi-parameter data for energy optimisation: the Energy4Climate building-based demonstrators
Optimization	The Unit Commitment problem with integration of Local Energy Communities Optimal Voltage References for DC Microgrids using an Economic MPC Approach
OR	Quantum Operations Research
Ovarian cancer	A Framework for Identifying Resistance-related Gene Signatures in scRNA-seq data using Non-Negative Matrix Factorization
P
p-Center problem	Robust MILP formulations for the two-stage p-Center Problem
Parametric uncertainties	Optimal Control of Tumor Immune Systems under Parametric Uncertainties
Pareto optimal	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
path-differentiability	Subgradient Sampling in Nonsmooth Nonconvex Minimization
Peer-to-peer market	An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets
Penalized splines	Constrained Smoothing and Out-of-range Prediction by Means of a Mathematical Optimization Approach
Performative Prediction	Balancing Efficiency and Privacy in a Decision-Dependent Network Game
perturbed maximizer	Learning with sign-dependent combinatorial optimization layers: a multiplicative perturbation approach
PhotoVoltaic	Surrogate Component Approach for Self-Consumption Management
Piecewise affine functions	Local minima and their basins of attractions for piecewise affine functions with polyhedral support
planning	Robust multi-stage optimization for glass production
Poisson inverse problems	Asynchronous Optimization of Relatively Smooth Objectives
Polyhedral support	Local minima and their basins of attractions for piecewise affine functions with polyhedral support
polyhedron	On a Concept of a Generic Intersection Cut Callback
Polynomial optimization	Sparse polynomial optimization: old and new On the Computational Complexity of the Moment-SOS Hierarchy for Polynomial Optimization
Pontryagin Maximum Principle	Stability and optimization of the chemostat system including a linear coupling term between species
Pontryagin's principle	A Maximum Principle for some Chance-Constrained Control Problems Optimal control of a bioeconomic model applied to the recovery of household waste
Population Dynamics	Evolutionary Game of Coordination for Formation Flying
Population model	Stability and optimization of the chemostat system including a linear coupling term between species
Potential field descriptions	Local minima and their basins of attractions for piecewise affine functions with polyhedral support
Power Control	NOMA-based Power Control for Machine-Type Communications: A Mean Field Game Approach
Power Self-Consumption	Surrogate Component Approach for Self-Consumption Management
Power Systems	Moment relaxations for large scale AC-OPF problems
preferential bidding system	Linear lexicographic optimization and preferential bidding system
Pricing	Intelligent Pricing in Electric Networks Bilevel Optimization Under Uncertainty
primal-dual algorithm	Quadratic Error Bound of the Smoothed Gap and the Restarted Averaged Primal-Dual Hybrid Gradient
primal-dual algorithms	Interior point methods in optimal control problems: Convergence results and primal-dual solving algorithm
primal-dual scheduler	A Fairness Framework for Coflow Scheduling
principal component analysis	How Principal Component Analysis can improve Bayesian Optimization at High Dimensionality
Principal-Agent problem	A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
Probabilistic certification	Optimal Control of Tumor Immune Systems under Parametric Uncertainties
probabilistic constraints	A turnpike property for an optimal control problem with chance constraints
Probability functions	Increasing electricity reliability in peri-urban areas of Sub-Saharan Africa with joint chance constraints
Product-Form Distribution	Mean field analysis of stochastic networks with reservation
production	Robust multi-stage optimization for glass production
Production Planning	Coupled production management and energy supply planning of an industrial microgrid
progress	A Fairness Framework for Coflow Scheduling
Projection sub-problem	Projective Cutting Planes with multiple cuts per iteration for robust linear programming
Proportional Fairness	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
proximal algorithms	Asynchronous Optimization of Relatively Smooth Objectives
proximal point algorithm	Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Public policy	A static game model for analyzing country carbon emissions Regional decarbonization studies: a first step to assess how to share decarbonization effort at the scale of a country. The example of Centre-Val de Loire Carbon offsetting: a game perspective
Q
Q-learning	Parameter-Dependent Performance Bounds for Evolutionary Algorithms
QP	Global Solution of Quadratic Programs by Interval Methods and Convex Reformulations
Quadratic inner problem	A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets
Quadratic Programming	A Two-Phase Sequential Algorithm for Global Optimization of the Standard Quadratic Programming Problem
quantum computing	Efficient Quantum Encodings for Combinatorial Optimization Problems: The Sub-Graph Isomorphism Case Quantum Operations Research Attaque par canaux cachés quantiques
R
Ranking games	A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
Recourse policy	Smart Charging under Uncertainty on Arrival and Departure Dates: a Robust Optimization Approach
regionally non-permanent control	Hybrid optimal control including a regionally constant parameter and applications
regularization	Image Reconstruction: Superiorization versus Regularization State constraints in stochastic optimization
Reinforcement Learning	Scaling up Multi-agent Reinforcement Learning with Mean Field Games and Vice-versa
Renewable energies	Coupled production management and energy supply planning of an industrial microgrid The Unit Commitment problem with integration of Local Energy Communities
Replicator Dynamic	Evolutionary Game of Coordination for Formation Flying
Reservation	Mean field analysis of stochastic networks with reservation
Resistance	A Framework for Identifying Resistance-related Gene Signatures in scRNA-seq data using Non-Negative Matrix Factorization
restart	Quadratic Error Bound of the Smoothed Gap and the Restarted Averaged Primal-Dual Hybrid Gradient
Revenue Management	Pricing Bundles for Airline Revenue Management
reverse Stackelberg games	A Reverse Stackelberg Game Model for Grid Usage Pricing with Local Energy Markets
risk hedging	An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets
Risk measures	Risk management via optimal (partial) transport
robust MILP formulations	Robust MILP formulations for the two-stage p-Center Problem
Robust optimization	Spectral constraints in nonlinear programming Robust multi-stage optimization for glass production Smart Charging under Uncertainty on Arrival and Departure Dates: a Robust Optimization Approach
Routing	Surrogate Component Approach for Self-Consumption Management
runtime analysis	New Runtime Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) Crossover for Cardinality Constrained Optimization
Rényi Divergences	Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
S
Satellite constellation design	The Satellite Constellation Design Problem via MI(N)LP Boosted with a Genetic Algorithm
scalable billing	Intelligent Pricing in Electric Networks
Scheduling	Surrogate Component Approach for Self-Consumption Management
Screening tests	Discrete Optimization Methods for Problems with the L0-Pseudonorm
scRNA-seq	Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local Search
Seasonal Storage Valuation	Stochastic Dual Dynamic Programming and Lagrangian decomposition for Seasonal Storage Valuation in SMS++
self-concordant barriers	No Self-Concordant Barrier Interior Point Method Is Strongly Polynomial
Semi-algebraic geometry	Lyapunov Stability of the Subgradient Method with Constant Step Size
Semidefinite programming	Sparse polynomial optimization: old and new Global Solution of Quadratic Programs by Interval Methods and Convex Reformulations On the Computational Complexity of the Moment-SOS Hierarchy for Polynomial Optimization
Separation sub-problem	Projective Cutting Planes with multiple cuts per iteration for robust linear programming
Set Analysis	Evolutionary Game of Coordination for Formation Flying
SGD	Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
Signal Tracking	Feature Projection for Optimal Transport
Single-cell RNA-seq	A Framework for Identifying Resistance-related Gene Signatures in scRNA-seq data using Non-Negative Matrix Factorization
single-leader-multi-follower games	A branch-and-bound method for single-leader-multi-follower games with energy management applications
SIR model	Peak minimization for compartmental models
Smart building	Multi-parameter data for energy optimisation: the Energy4Climate building-based demonstrators
smart charging	A mean field control approach for smart charging
smoothing	Regularized smoothing for solution mappings of convex problems, with applications to two-stage stochastic programming and some hierarchical problems
SOS constraints	Discrete Optimization Methods for Problems with the L0-Pseudonorm
SOS-1 approach	A branch-and-bound method for single-leader-multi-follower games with energy management applications
Sparse approximation	Applications of Interior Point methods: from Sparse Approximations to Discrete Optimal Transport
Sparse Optimization	Hidden Convexity in the l0 Pseudonorm Entropic Lower Bound of Cardinality for Sparse Optimization
Spatial equilibria	A simple city equilibrium model with an application to teleworking
spatial interactions	A Mean Field Game model in Economics with spatial interactions in the human capital
Spectral optimization	Spectral constraints in nonlinear programming
Splitting	Progressive decoupling of linkages in a class of optimization problems with non-elicitable convexity
stability analysis	Stability analysis of controlled resource allocation in bacterial models
Stability of solutions	Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
Stable Matching	One-to-Many Matching Games
Stackelberg game	An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets
state constraints	Interior point methods in optimal control problems: Convergence results and primal-dual solving algorithm Neural Networks for First Order HJB Equations
State-constrained Optimization	Mean-field Control under State Constraint: Optimality Conditions and Mean-field Limit
sterile insect technique	Vector-borne Disease Outbreak Control via Instant Vector Releases
Stochastic control	Newton Method for Stochastic Control Problems: Application to Decentralized Control of Energy Storage Systems
Stochastic Dual Dynamic Programming	Stochastic Dual Dynamic Programming and Lagrangian decomposition for Seasonal Storage Valuation in SMS++
stochastic gradient	Subgradient Sampling in Nonsmooth Nonconvex Minimization
Stochastic model	Parking duration optimization for electric vehicles in a loss queueing system
Stochastic Networks	Mean field analysis of stochastic networks with reservation
Stochastic Optimization	Coupled production management and energy supply planning of an industrial microgrid
Stochastic Pontryagin principle	Newton Method for Stochastic Control Problems: Application to Decentralized Control of Energy Storage Systems
Stochastic programming	Progressive decoupling of linkages in a class of optimization problems with non-elicitable convexity Some splitting methods from a nonsmooth optimizer's perspective
stratification	Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
stratified problems	Hybrid optimal control including a regionally constant parameter and applications
strongly quasiconvex functions	Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Structure of Information	Mean Field Games with Incomplete Information
structured learning	Structured learning for vehicle routing problems
sub-graph isomorphism	Efficient Quantum Encodings for Combinatorial Optimization Problems: The Sub-Graph Isomorphism Case
subgradient sampling	Subgradient Sampling in Nonsmooth Nonconvex Minimization
Subset Selection	Subset Sampling for Low-Discrepancy Point Sets
Substitutability	One-to-Many Matching Games
Subtour Elimination Constraints	Improving subtour constraints generation in Branch-and-Cut algorithms for TSP with Machine Learning
superiorization	Image Reconstruction: Superiorization versus Regularization
Synchronous DataFlow	Colored Petri-Nets and Synchronous Dataflow Graphs to optimize a medical evacuation
T
TBA1	Sequential Learning in a strategical environment Anchored solutions in robust combinatorial optimization Dyadic Linear Programming Presentation of the laureates by the president of Jury and representatives of SMAI-MODE and ROADEF
TBA2	Sequential Learning in a strategical environment Anchored solutions in robust combinatorial optimization Dyadic Linear Programming Presentation of the laureates by the president of Jury and representatives of SMAI-MODE and ROADEF
TBA3	Sequential Learning in a strategical environment Anchored solutions in robust combinatorial optimization Dyadic Linear Programming Presentation of the laureates by the president of Jury and representatives of SMAI-MODE and ROADEF
Teleworking	A simple city equilibrium model with an application to teleworking
Term sparsity	Sparse polynomial optimization: old and new
time slot pricing	An exact method for a problem of time-slot pricing
Time Varying Optimisation	Non-uniform Observability for Moving Horizon Estimation and stability with respect to additive perturbation
Timed Weighted Event Graph	Colored Petri-Nets and Synchronous Dataflow Graphs to optimize a medical evacuation
Transcriptomics	Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local Search
transportation problem	An exact method for a problem of time-slot pricing
Traveling Salesman Problem	Improving subtour constraints generation in Branch-and-Cut algorithms for TSP with Machine Learning
tropical geometry	No Self-Concordant Barrier Interior Point Method Is Strongly Polynomial
Tumour containment	Some Optimal Control Problems Arising From Tumour Containment
turnpike phenomenon	A turnpike property for an optimal control problem with chance constraints
U
Uncertainties	Increasing electricity reliability in peri-urban areas of Sub-Saharan Africa with joint chance constraints
Uncertainty	Bilevel Optimization Under Uncertainty
Unit Commitment Problem	Overlapping decomposition in column generation
usability	AutoML - Benefits, Reality, Future
V
value function	Regularized smoothing for solution mappings of convex problems, with applications to two-stage stochastic programming and some hierarchical problems
Variable Splitting	Overlapping decomposition in column generation
variational algorithms	Efficient Quantum Encodings for Combinatorial Optimization Problems: The Sub-Graph Isomorphism Case
Variational Inference	Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
Vector-borne diseases	Vector-borne Disease Outbreak Control via Instant Vector Releases
vehicle routing	Structured learning for vehicle routing problems
W
Waste recovery	Optimal control of a bioeconomic model applied to the recovery of household waste
Weighted Sum Method	Generalized Nash Fairness solutions for Bi-Objective Minimization Problems
Wolbachia	Vector-borne Disease Outbreak Control via Instant Vector Releases

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