Computational Intelligence Methods for Financial Applications [ 2010 - 2012 ]

Research Grant

[Cite as]

Researchers Prof Z Michalewicz; Prof R Zurbruegg; Mr A Ghandar

Brief description Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as new standards in the field are developed. Furthermore, the fund management industry (particularly superannuation) is significant to the Australian economy and development of this technology has the potential to enhance its performance and reputation.

Funding Amount $165,000

Funding Scheme Discovery Projects

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