This highly multidisciplinary PhD project will develop computational methods and optimisation frameworks to solve engineering optimisation problems.
Our research interest is to develop more efficient evolutionary algorithms, such as genetic algorithms, particle swarm optimisation and different evolutions, to solve different kinds of complex engineering problems by finding multiple global solutions. In particular, we have developed a series of species conserving genetic algorithms, which have been demonstrated to be capable of finding multiple global and local solutions. Our research has been integrated into the Modelling and Optimisation System (MoS) (http://www.scholarpark.co.uk/mos).
In the project, you can choose to present new ideas to develop related optimisation techniques. You will benefit from being able to apply your methods to solve all kinds of engineering optimisation problems by using the MoS software. You can also choose to model an engineering optimisation problem and apply different optimisation techniques in the MoS system to solve it. Currently, we are interested in the following problems:
• Structure optimisation Design especially truss topology, • Chemical Process Optimization, • Engine Calibration, • Network. • Tribology, • Reliability and Service.
Working collaboratively, and cooperating with the research group and conducting research independently, are essential for the success of the PhD.
Candidates with excellence and keen interests in one or more of the following topics are encouraged to apply: • Gradient-based optimization and mathematical programming • Computer programming (C++, Matlab) • Numerical analysis • Evolutionary computation • Engineering background