Abstract
It is a challenge to optimise several simulators in a multi-objective way in Computer-Aided Engineering (CAE). The technology of replacing each simulator with a fast statistical emulator based on a space-filling computer experiment is introduced. A case study based on a rudimentary model of a car suspension system is conducted in full and is one of a series in a collaborative EU project (No. BE96-3046) which has a particular emphasis on multi-domain problems: mechanical, thermal, electrical etc. In the case study the objectives from three separate simulator responses are combined in different portmanteau criteria; global optimisation is then used to find Pareto solutions.
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© 1998 Springer-Verlag London Limited
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Bates, R.A., Fontana, R., Pronzato, L., Wynn, H.P. (1998). Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering. In: Parmee, I.C. (eds) Adaptive Computing in Design and Manufacture. Springer, London. https://doi.org/10.1007/978-1-4471-1589-2_28
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DOI: https://doi.org/10.1007/978-1-4471-1589-2_28
Publisher Name: Springer, London
Print ISBN: 978-3-540-76254-6
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