Discovery Projects - Grant ID: DP210101025

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210101025

Funding Status
Active

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Funded Activity Summary

Data-Driven Multistage Robust Optimization—the New Frontier in Optimization. Robust optimisation is a powerful technology for decision-making in uncertain environments. Yet, developing numerically certifiable optimisation principles and data-driven methods that can be readily implemented by common computer algorithms remains an elusive goal for multistage robust optimisation. But it is crucial for the practical use of multistage optimisation. This project aims to develop this novel mathematical theory and methods by extending the investigators' recent award winning advances, including the von Neumann-prizewinning Lasserre-hierarchy approach. Results will provide a foundation and technologies for making superior decisions in the pervasive presence of big data uncertainty, enhancing data-driven innovation in Australia

Funded Activity Details

Start Date: 01-01-2021

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $400,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Calculus of Variations, Systems Theory and Control Theory | Optimisation | Numerical and Computational Mathematics | Operations Research |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences

Other Keywords

Calculus of Variations, Systems Theory and Control Theory | Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences | Numerical and Computational Mathematics | Operations Research | Optimisation

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