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PI1: Justo Puerto Albandoz,PI2: Antonio Manuel Rodríguez Chía Abstract: The main outcome of this project will be a new family of algorithms, models, tools, and technologies for optimizing the classification of discriminant systems in data intensive applications paying particular attention to develop flexible models and feature selection in Support Vector Machines. Our proposal is based …

Challenges of combinatorial optimization in data science and large-scale complex network models (P18-FR-1422 ) Leer más »

PI: Justo Puerto Albandoz, Project: CEI-3-FQM331 Abstract: The coordination and integration of installation layouts (pipes, conduits and electrical conduits) that make up the different decks of ships, is one of the jobs that requires the most effort and hours in the development of naval projects. In this project, a new product is developed to allow …

An automated pipeline routing system based on machine learning and mathematical programming Leer más »

PI: Justo Puerto Albandoz Abstract: The goal of this project is to address theoretical results, methodology and procedures to solve large scale optimization problems. Specifically, we merge tools from complex networks and data science to approach challenging problems in the design and optimization of different network problems including huge amount of data.   Implied entities: Universidad …

New results on design and optimization problems in complex networks: Applications to the design of smart cities Leer más »