On design mining: coevolution and surrogate models

Preen, Richard J. and Bull, Larry (2016) On design mining: coevolution and surrogate models. UWE https://researchdata.uwe.ac.uk/id/eprint/157/

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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. Here, 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, how best to construct and use surrogate models within the coevolutionary scenario, and the effects of access to multiple whole system (physical) testing equipment on performance.

UWE College/School: College of Arts, Technology and Environment > School of Computing and Creative Technologies
Creators: Preen, Richard J. and Bull, Larry
URI: https://researchdata.uwe.ac.uk/id/eprint/157
Resource language: English

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