Multi-paradigm methods for many-objective optimization

   Department of Automatic Control and Systems Engineering

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  Prof Robin Purshouse  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Most of the decisions we need to take in life, in both professional and personal contexts, require us to consider a number of performance criteria and constraints. Many-objective optimization refers to the process of identifying optimal compromise solutions for these problems. This project will address one or more of the grand challenges facing many-objective optimization methods such as: robustness, efficient exploitation of high fidelity simulations, and collaborative or distributed decision-making - with application to product and process design settings.

Computer Science (8)

Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Full details of how to apply can be found at the following link:
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive:

Where will I study?

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