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Grant Award View - GA29164-V1
Evolutionary computation for robust multi-objective engineering design
GA ID:
GA29164-V1
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
9-Jul-2019
Variation Date:
19-Jul-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
19-Jul-2019 to 18-Jul-2022
Value (AUD):
$360,000.00
(GST inclusive where applicable)
Varies:
GA29164
- Evolutionary computation for robust multi-objective engineering design
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Evolutionary computation for robust multi-objective engineering design
Purpose:
This project aims to develop an evolutionary computation framework for robust multi-objective design, a critical pursuit in engineering industries. Such problems are characterised by multiple conflicting performance objectives
and constraints which are highly nonlinear, often black-box, and prone to unavoidable real-life uncertainties. The existing evolutionary algorithms are often computationally impractical and have a number of fundamental
shortcomings which restrict their use in real applications. This project aims to investigate and overcome the underlying key challenges to advance knowledge and contribute towards diverse domains such as energy, transport and space research, helping deliver high quality robust designs.
GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 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