In reality, most design optimization problems involve computationally expensive analysis. The aim of this work is to develop methods that can simultaneously deal with estimates arising from multifidelity analysis codes.
Program Code: 1661
Brief:
In reality, most design optimization problems involve computationally expensive analysis. The aim of this work is to develop methods that can simultaneously deal with estimates arising from multifidelity analysis codes. The use of such multifidelity estimates during the course of optimization is the second phase of the project.
Skills Required:
A candidate from Computer Science/Engineering would be preferred. Good coding skills in C#/C++/MATLAB is required. An understanding of optimization methods and in particular population based approaches such as Evolutionary Algorithms would be useful.
Contact:
A/Prof Tapabrata Ray t.ray@adfa.edu.au
School of Engineering & IT
Systems Engineering
