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Grant Award View - GA2534
Hybrid methods with decomposition for large scale optimization
GA ID:
GA2534
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Publish Date:
20-Feb-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jun-2018 to 31-Dec-2021
Original: 1-Jan-2018 to 31-Dec-2020
Value (AUD):
$352,616.00
(GST inclusive where applicable)
Variations:
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Hybrid methods with decomposition for large scale optimization
Purpose:
This project aims to develop advanced approaches for solving large scale real-world optimisation problems that are expensive to evaluate, and difficult to formulate, involving thousands of variables and constraints. The project will make novel contributions to improving state-of-the-art large scale optimisation algorithms in terms of scalability, effectiveness, and efficiency for real-world problem solving. The outcomes of this project will bring about greater understanding of real-world large scale optimisation, and deliver practical solutions to these problems.
Internal Reference ID:
DP18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
RMIT University
Recipient ABN:
49 781 030 034
Grant Recipient Location
Suburb:
MELBOURNE
Town/City:
MELBOURNE
Postcode:
3000
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3000
Country:
AUSTRALIA