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Species Conservation Evolutionary Algorithms for multiobjective optimization and applications in Engineering

Faculty of Engineering and Informatics

About the Project

This highly multidisciplinary PhD projects will develop computational methods or optimisation frame work to solve engineering optimization problems.

Our research interest is to develop more efficient evolutionary algorithms, such as genetic algorithms, particle swarm optimisation and different evolution, to solve different kinds of complex engineering problems by finding multiple global solutions. Especially we have developed a series of species conserving genetic algorithm, 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) (

Research aims & objectives
In the project, you will present and develop some evolutionary computation algorithms by using species conservation concept to solve multiobjective optimization problems and apply them to solve some engineering optimization problems.

Candidate Requirements
Candidates with excellence and keen interests in one or more of the following topics are encouraged to apply:
• Computer programming (C++, Matlab)
• Numerical analysis
• Evolutionary computation

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