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Experience-based Computation: Learning to Optimise
Period: 01.04.2018 – 31.03.2022


ECOLE is a Marie-Skłodowska Curie Innovative Training Network (ITN) for Early Stage Researchers (ESR) based on novel synergies between nature inspired optimisation and machine learning. The training programme is targeted at the automotive industry, but the skill set of the ESRs will be equally valuable to other fast-moving innovative industries.

ECOLE is the first project of its kind in terms of studying Learning to Optimise systematically. It aims explicitly to understand and characterise “experience” in engineering optimisation and apply such
abstracted experience to optimise different, but related, engineering problems. It aims at solving a series of related optimisation problems, instead of treating each problem instance in isolation. In order to study these research issues synergistically, 8 different ESRs are employed to tackle different aspects of the whole research challenge.

ECOLE consortium members are the University of Birmingham (coordinator), Leiden University, the Honda Research Institute Europe and NEC Laboratories Europe.