Impact
We are developing cutting-edge, practical and efficient algorithms and frameworks to support multidisciplinary optimisation. These design optimisation methods, which provide solutions for a wide variety of design problems, address fundamental challenges and uncertainties in the optimisation process including:
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the presence of multiple conflicting performance criteria such as minimum cost, maximum reliability, and maximum strength
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the presence of several design variables and/or design constraints
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computationally expensive simulations
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highly non-linear programming or black-box response functions
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hierarchical objectives involving decision making at multiple levels.
Our research is frequently published in leading journals such as the Institute of Electrical and Electronic Engineers (IEEE) Transactions on Evolutionary Computation Journal and the American Society of Mechanical Engineers (ASME) Journal of Mechanical Design.
We are running several externally funded projects which include the Australian Research Council (ARC) Discovery projects, Future Fellowship and the Endeavour Fellowship.
Competitive Advantage
- A combination of expertise and experience in diverse fields such as evolutionary computation, engineering design and operations research.
- Collaborations with leading researchers in the field globally.
Successful Applications
Our research is successfully applied across several engineering applications including but not limited to:
- underwater vehicle design
- ship hull design
- scramjet geometries (Australian space research program)
- oil production planning
- wind-farm layout
- hybrid car controllers and energy management (Honda research institute).