Website
http://dataportal.arc.gov.au/NCGP/API/grants/FL140100012
Funding Status
Closed
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Funded Activity Summary
Stress-testing algorithms: generating new test instances to elicit insights. Stress-testing algorithms: generating new test instances to elicit insights. This project aims to develop a new paradigm in algorithm testing, creating novel test instances and tools to elicit insights into algorithm strengths and weaknesses. Such advances are urgently needed to support good research practice in academia, and to avoid disasters when deploying algorithms in practice. Extending our recent work in algorithm testing for combinatorial optimisation, described as 'ground-breaking,' this project aims to tackle the challenges needed to generalise the paradigm to other fields such as machine learning, forecasting, software testing, and other branches of optimisation. An online repository of test instances and tools aim to provide a valuable resource to improve research practice and support new insights into algorithm performance.Funded Activity Details
Start Date: 12-2014
End Date: 12-2020
Funding Scheme: Australian Laureate Fellowships
Funding Amount: $2,830,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Applied Mathematics | Operations Research | Pattern Recognition and Data Mining |
ANZSRC Socio-Economic Objective (SEO)
Computer Software and Services not elsewhere classified | Expanding Knowledge in the Mathematical Sciences | Library and Archival Services
