DOLPHIN Research team
Parallel Cooperative Multi-criteria Optimization
- Leader : El-ghazali Talbi
- Type : team
- Research center(s) : Lille
- Field : Applied Mathematics, Computation and Simulation
- Theme : Optimization, machine learning and statistical methods
- Inria teams are typically groups of researchers working on the definition of a common project, and objectives, with the goal to arrive at the creation of a project-team. Such project-teams may include other partners (universities or research institutions)
Many industrial domains are concerned by large and complex optimization problems, involving important financial costs and in which decisions must be taken in an optimal way. The development of advanced hybrid optimization methods from combinatorial optimization in operations research, decision in artificial intelligence and parallel and distributed computing, is an important issue in solving in a reasonable search time this class of problems, which are more and more complex.
The goal of the DOLPHIN project-team is the modeling and parallel resolution of large (multi-objective) combinatorial optimization problems. Efficient parallel cooperative optimization methods are developed from the analysis of the structure of the solved problem. The target optimization problems are generic problems (flow-shop scheduling, vehicle routing, etc.) and industrial problems from logistics, transportation, energy, and bioinformatics.
- Analysis of the structure of a combinatorial optimization problem, where many indicators are used to analyze the landscape of the problem. This allows the efficient design of search operators, objective finctions, and hybrid methods for solving mono-objective and multi-objective problems.
- Cooperation of optimization methods (metaheuristics and/or exact methods), to combine complementary optimization strategies.
- Parallel optimization methods, to speedup the search, to solve large problems, and to improve the robustness and the quality of solutions.
International and industrial relations
- EDF, GDF-Suez, Tasker, energy (electricity, cloud).
- Genes Diffusion, Alicante, bioinformatics.
- DHL, Vekia, Opalean, logistics and transportation.
- Univ. Malaga (Espagne), Univ. Luxembourg, Georgia Tech (USA), Univ. Montreal (Canada), etc.
- EvoNet European Network, Univ. Malaga (Espagne), Illinois (USA), etc.
Research teams of the same theme :
- GEOSTAT - Geometry and Statistics in acquisition data
- INOCS - Integrated Optimization with Complex Structure
- MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
- MODAL - MOdel for Data Analysis and Learning
- RANDOPT - Randomized Optimisation
- REALOPT - Reformulations based algorithms for Combinatorial Optimization
- SELECT - Model selection in statistical learning
- SEQUEL - Sequential Learning
- SIERRA - Statistical Machine Learning and Parsimony
- TAU - Tackling the Underspeficied