Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200102364
Funding Status
Active
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Funded Activity Summary
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. 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.Funded Activity Details
Start Date: 05-2020
End Date: 12-2024
Funding Scheme: Discovery Projects
Funding Amount: $518,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural, Evolutionary and Fuzzy Computation | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Computer Software and Services not elsewhere classified |
