15 young researchers trained in new mathematical optimization techniques

A new generation of optimization methods

Mathematical optimization yields significant advantages for many industry and society sectors, ranging from production planning processes, transportation, to energy consumption, and resources control, where optimization solutions are used to determine the behaviour of many devices or services. The challenge addressed by POEMA is to build a new generation of robust global optimization methods. To that end the project will focus on Polynomial Optimisation Problems (POP), as polynomial functions are extensively used in optimization and more generally for modelling in science and engineering.

15 young researchers trained in new techniques

In this perspective, POEMA's partners, namely, Inria, LAAS - CNRS,  Sorbonne University,  NWO-I, Tilburg University,  Tromsø University, Konstanz University, Firenze University,  University of Birmingham, University Erlangen–Nürnberg and Artelys CA are training 15 young researchers in these new techniques. This should result in the creation of a community of experts in Global Polynomial Optimization at the European level, bringing this new area steps further and increasing its impact on society at large. And as this community develops and gains both academic expertise and industrial insight, it will reinforce strategic connections between research and industry. Industry professionals, and POEMA industrial partners (Artelys CA, IBM, NAG, RTE), expect the application of such techniques to play a major role in upcoming technological developments.

An advanced training program 

The POEMA initiative will therefore implement an advanced training programme addressing both academic and industrial agenda, focusing on:

• New advances in the analysis and in the understanding of the algebra and geometry involved in polynomial optimization problems, which lead to significant progress in the development of new efficient algorithms and implementations for solving global optimization problems.
• New, alternative methods for solving global optimization problems, exploiting the structure of the problems for efficiency and accuracy. An industrial breakthrough should be a new class of optimization software that can solve real life global optimisation problems.
• Developing the scope of applications of this new paradigm by addressing challenging applications and optimization bottlenecks in physics, information processing, communication, economy, energy management, etc… opening new innovation perspectives across numerous domains.