ARC Future Fellowships - Grant ID: FT200100536

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/FT200100536

Funding Status
Active

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Funded Activity Summary

Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high performing bio-inspired algorithms for stochastic problems where the constraints can only be violated with a small probability. The outcomes will lead to more effective and reliable optimisation methods for complex planning processes in areas of national priority such as mining and manufacturing.

Funded Activity Details

Start Date: 06-2021

End Date: 06-2025

Funding Scheme: ARC Future Fellowships

Funding Amount: $1,031,764.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Computer Software and Services not elsewhere classified |

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