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Grant Award View - GA337675-V1
Robust Derivative-Free Algorithms for Complex Optimisation Problems
GA ID:
GA337675-V1
Agency:
Australian Research Council
Approval Date:
28-Sep-2023
Variation Publish Date:
1-Nov-2023
Variation Date:
1-Mar-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Mar-2024 to 28-Feb-2027
Value (AUD):
$444,847.00
(GST inclusive where applicable)
Varies:
GA337675
- Robust Derivative-Free Algorithms for Complex Optimisation Problems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Robust Derivative-Free Algorithms for Complex Optimisation Problems
Purpose:
Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techniques and create world-leading and publicly available software. These new techniques and software may ultimately be able to solve some of the most complex optimisation problems in research and industry, such as improving long-term climate predictions and designing 3D-printed medical implants.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2024
Internal Reference ID:
DE24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA