On design mining: coevolution and surrogate models

How to cite this record

Preen, R. J. and Bull, L. (2016) On design mining: coevolution and surrogate models. UWE, http://researchdata.uwe.ac.uk/166.

UWE Harvard citation (for UWE users)

Preen, R. J. and Bull, L. (2016) On design mining: coevolution and surrogate models. UWE data repository [online]. Available from: http://researchdata.uwe.ac.uk/166 [Accessed 17 August 2022].

Project Title

On design mining: coevolution and surrogate models

Brief summary of project

Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototyping to meet given objectives. It enables the exploitation of novel materials and processes without formal models or complex simulation. In this paper, we focus upon the coevolutionary nature of the design process when it is decomposed into concurrent sub-design threads due to the overall complexity of the task. Using an abstract, tuneable model of coevolution we consider strategies to sample sub-thread designs for whole system testing and how best to construct and use surrogate models within the coevolutionary scenario. Drawing on our findings, the paper then describes the effective design of an array of six heterogeneous vertical-axis wind turbines.

Associated Publication Links

http://eprints.uwe.ac.uk/31963/ (UWE Research Repository)

Publisher

UWE

This is the latest version of this item.

Details

Item Type: Dataset
Language of the Dataset Collection: English
Creators: Preen, R. J. and Bull, L.
UWE Faculty/Department: Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
UWE Research Centres/Institutes: Faculty of Environment and Technology > Computer Science Research Centre
Depositing User: Dr R. Preen
Date Deposited: 24 Nov 2016 14:15
Last Modified: 17 Jan 2019 11:46

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