Group Leader: Justo Puerto
Description:
The challenges of RL5 are to obtain new optimality conditions, structural properties of solution sets and efficient algorithms to get new methodologies in optimization problem solving. This includes among other global, derivative free, combinatorial and mixed integer convex and non-convex optimization models.
We also work on smallest representation of network structures endowed with communication as well as hierarchical features, analysis of cooperative games on structures like fuzzy graphs, authorization structures or a priori incompatibilities and syncronization in routing problems with drones, among
other subjects.
Members:
Genaro López Acedo
Amparo Mármol Conde
Luisa Martínez Merino
Helena Molina Abril
Research portfolio:
Big data meet data science
A. Mathematical Programming
B. Combinatorial Optimization
C. Linear and non-linear programming
D. Data Science
Finance, Social media
Automatic network design
A. Mathematical Programming
B. Combinatorial Optimization
C. Linear and non-linear programming
D. Data Science
Engineering, network design
Design and optimization problems in complex networks
A. Optimization
B. Mathematical programming
C. Algorithms
D. Scientific software
Logistics, Transportation, Naval
Optimization in Image Reconstruction using Electron Tomography
A. Mathematical Programming
B. Combinatorial Optimization
C. Linear and non-linear programming
D. Data Science
Neuroscience, Psychology, Medical Sciences
Geometric algorithms for Musical Information Retrieval and Aerial Robotics
A. Algorithmics
B. Computational geometry
C. Data structures
D. Operational research
Robotics, MIR
Related projects:
- Competition and Cooperation in Economics and Social Sciences
- Collective Decisions in Competitive and Collective Contexts
- Big Data Classification via Mathematical Programming
- Combinatorics of Networks and Computation
- Nonexpansive , Monnotone, Acretive and Cyclic Operators: Applications
- Some applications of the Functional Analysis to solve nonlinear equations, optimization problems and cyclicity problems
- Applications of Functional Analysis to the resolution of Nonlinear Problems, Convex Optimization and Lineability
- New math challenges in logistics and integrated transportation problems in complex networks: design and optimization
- New mathematical challenges in logistics and integrated transportation problems on complex networks: design and optimization
- New results on design and optimization problems in complex networks: Applications to the design of smart cities
- Challenges of combinatorial optimization in data science and large-scale complex network models
- Complex networks meet data science (NetmeetData)- BBVA Research Foundation
- An automated pipeline routing system based on machine learning and mathematical programming
Related transfer:
