To access this element change to forms mode OFF
Grant Award View - GA119989-V4
Bio-inspired Computing for Problems with Chance Constraints
GA ID:
GA119989-V4
Agency:
Australian Research Council
Approval Date:
26-Aug-2020
Variation Publish Date:
24-May-2022
Variation Date:
24-May-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
30-Jun-2021 to 30-Jun-2025
Value (AUD):
$1,031,764.00
(GST inclusive where applicable)
Varies:
GA119989
- Bio-inspired Computing for Problems with Chance Constraints
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Bio-inspired Computing for Problems with Chance Constraints
Purpose:
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.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2020
Internal Reference ID:
FT20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Adelaide
Recipient ABN:
61 249 878 937
Grant Recipient Location
Suburb:
ADELAIDE
Town/City:
ADELAIDE
Postcode:
5000
State/Territory:
SA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
SA
Postcode:
5000
Country:
AUSTRALIA