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The members of MAORE are using the tools of combinatorial optimization, graph theory, mathematical programming, and constraint programming to solve discrete optimization problems exactly or approximately. Our main application fields are:
Our recent industrial collaborations involve, for instance, Orange, Schneider, Total, and Teads. |
Open Access Files75 % |
Number of full texts221 |
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Number of records93 |
Publishers' policy on open archives
Mapping of collaborations
Tags
Integer Programming
Scheduling
Multicast
Combinatorial optimization
Constrained shortest path
Time windows
Integer programming
Coupled-task scheduling model
NP-hardness
FSO
Light-forest
Column generation
Constraint programming
Clearing algorithms
Approximation ratio
Grover algorithm
Réseaux de capteurs
Budgeted uncertainty
Multicast routing
Quality of Service
Hypergraph
Approximability
RPL
Wireless sensor networks
Vehicle routing
Approximation algorithm
Exact computation
Linear and mixed-integer programming
Bass model
K-MBVST
Dynamic Programming
Branch and Price
Degree constrained minimum spanning hierarchy
Robust Optimization
Robust combinatorial optimization
Cutting plane
Approximation algorithms
Spanning tree
Network design
Dynamic programming
WDM network
Checkpointing
Exascale
Integer Linear Programming ILP
Variable link capacity
Quality of service
Sparse splitting
Wavelength minimization
Complexité
Computational complexity
Compatibility graph
Degree constrained minimum spanning tree
Bilevel optimization
Homomorphisme
Affine routing
FPTAS
Multicommodity flows
Quantum optimization
Coupled-tasks
Homomorphism
Routing
Free space optics
Light-trail
Light-tree
FPT algorithm
Approximation
Exact methods
Scaffolding
Branch-cut-and-price
Genome scaffolding
Parallel job
All-optical WDM networks
Robust optimization
Quantum computing
Optimization
Bi-level programming
ILP
Branch-and-Cut
Optimisation combinatoire
Combinatorial Optimization
Replication
Model Driven Engineering
Light-hierarchy
Fault-tolerance
Linear programming
Complexity & approximation
Graph theory
Optimisation
Complexity
Branch vertices constraint
Capacity Expansion
Hierarchy
Demand response
Path generation
Column Generation
Spanning problems
Benders decomposition
Heuristic
Energy-aware engineering
Chordal graphs