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Species Conservation Evolutionary Algorithms for multi-objective optimisation and applications in Engineering

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  • Full or part time
    Dr Jian-Ping Li
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

This highly multidisciplinary PhD project will develop computational methods or 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 evolution, 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).

In the project, you will present and develop some evolutionary computation algorithms by using species conservation concepts to solve multi-objective optimisation problems, and apply them to solve some engineering optimization problems.

Candidates with 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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