MINOA - Mixed-Integer Non-Linear Optimisation Applications (DIT.AD021.070)
Area tematica
Ingegneria, ICT e tecnologie per l'energia e i trasporti
Area progettuale
Matematica Applicata (DIT.AD021)Struttura responsabile del progetto di ricerca
Istituto di analisi dei sistemi ed informatica "Antonio Ruberti" (IASI)
Responsabile di progetto
CLAUDIO GENTILE
Telefono: +39 0649937116
E-mail: claudio.gentile@iasi.cnr.it
Abstract
Building upon the achievements of the Marie-Curie ITN Mixed-Integer Non-Linear Optimization (MINO) (2012 - 2016), the goal of the Mixed-Integer Non-Linear Optimisation Applications (MINOA) proposal is to train the next generation of highly qualified researchers and managers in applied mathematics, operations research and computer science that are able to face the modern imperative challenges of European and international relevance in areas such as energy, logistics, engineering,natural sciences, and data analytics. Twelve Early-Stage Researchers (ESRs) will be trained through an innovative training programme based on individual research projects motivated by these applications that due to their high complexity will stimulate new developments in the field. The mathematical challenges can neither be met by using a single optimisation method alone, nor isolated by single academic partners. Instead, MINOA aims at building bridges between different mathematical methodologies and at creating novel and effective algorithmic enhancements. As special challenges, the ESRs will work on dynamic aspects and optimisation in real time, optimisation under uncertainty, multilevel optimization and n
Data inizio attività
01/02/2018
Parole chiave
mixed-integer nonlinear optimization, applications (energy, analytics, ...), exact algorithms
Ultimo aggiornamento: 25/04/2024