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Grant Award View - GA64687-V3
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression
GA ID:
GA64687-V3
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Variation Publish Date:
20-Oct-2021
Variation Date:
12-Oct-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
31-May-2020 to 30-May-2023
Value (AUD):
$518,000.00
(GST inclusive where applicable)
Varies:
GA64687
- Multiobjective Memetic Algorithms for Multi-task Symbolic Regression
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression
Purpose:
This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of science and technology. A large number of datasets will be investigated to benchmark the new methods. The expected outcomes will help support our national priorities with new data analytic capabilities. With a strong and interdisciplinary team in three continents, the project will attract international collaboration.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Newcastle
Recipient ABN:
15 736 576 735
Grant Recipient Location
Suburb:
CALLAGHAN
Town/City:
CALLAGHAN
Postcode:
2308
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2308
Country:
AUSTRALIA