Discovery Early Career Researcher Award - Grant ID: DE160100568

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE160100568

Funding Status
Active

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Funded Activity Summary

Towards reliability in combinatorial optimisation. This project intends to develop techniques to ensure that the solutions reported by optimisation tools are correct and verifiable. Combinatorial optimisation problems, where the best solution must be found from a vast set of possibilities, are central to critical sectors of the economy, including shipping, transit, mining and emergency response. Automated tools for these problems can now solve large industrial examples, however, they are incredibly complex artefacts which are prone to error and difficult to test. New methods for ensuring the correctness of automated tools would allow users to trust that the results returned by these tools are correct when making critical decisions.

Funded Activity Details

Start Date: 01-04-2016

End Date: 03-12-2021

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $360,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Intelligence and Image Processing not elsewhere classified | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing not elsewhere classified | Expanding Knowledge in the Information and Computing Sciences

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