Research Proposal: Meta-heuristics in Robust Optimisation

Lead Research Organisation: Lancaster University


Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.




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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509504/1 30/09/2016 29/09/2021
1767326 Studentship EP/N509504/1 30/09/2016 30/03/2020
Description We have identified improved approaches for performing optimisation searches on black-box problems (e.g. simulation models) which are expensive to run (thereby limiting the number of models runs that can be undertaken), under uncertainty. Here implementation undertainty only is considered, in a robust - as opposed to a stochastic - setting.
Exploitation Route Robust optimisation on expensive to run black-box problems is both a difficult undertaking and one that has not been widely considered, therefore the development of improving metaheuristics should be seen as an ongoing process.
Sectors Aerospace, Defence and Marine,Energy,Manufacturing, including Industrial Biotechology,Transport