Research Grant
[Cite as http://purl.org/au-research/grants/arc/DP0771709]Researchers: Dr Zhiyou Wu (Postdoctoral Fellow)
Brief description Filled function methods for global optimization and their applications. Many real problems in science, commerce and industry are restricted in the way that they are modelled and solved by the known inability to deal with global optimization problems. The development of computational efficient global optimization methods in this project will allow new more complete approaches to these problems, especially in new areas of bio-informatics, data mining, economic modelling, supply chain management, air traffic management, biochemical engineering and automotive industry, consequently helping Australia advance in these various areas. It will also enhance the understanding of global optimization from both theoretical and numerical viewpoints, particularly boosting optimization research in Australia.
Funding Amount $231,090
Funding Scheme Discovery Projects
- ARC : DP0771709
- PURL : http://purl.org/au-research/grants/arc/DP0771709