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Grant Award View - GA215272-V1
Evolutionary computation for expensive bilevel multiobjective problems
GA ID:
GA215272-V1
Agency:
Australian Research Council
Approval Date:
21-Jan-2022
Variation Publish Date:
4-Jul-2023
Variation Date:
30-May-2023
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jul-2022 to 30-Jun-2025
Value (AUD):
$390,000.00
(GST inclusive where applicable)
Varies:
GA215272
- Evolutionary computation for expensive bilevel multiobjective problems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Evolutionary computation for expensive bilevel multiobjective problems
Purpose:
This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA