| EPSRC Reference: |
GR/L04733/01 |
| Title: |
THE INTEGRATION OF MULTI-LEVEL, MULTI-DISCIPLINEDES- IGNS METHODS WITH MODERN STOCHASTIC GLOBAL OPTIMIZERS |
| Principal Investigator: |
Keane, Professor AJ |
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| Project Partners: |
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| Department: |
Faculty of Engineering & the Environment |
| Organisation: |
University of Southampton |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 1996 |
Ends: |
31 March 2000 |
Value (£): |
219,169
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| EPSRC Research Topic Classifications: |
| Design & Testing Technology |
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Summary on Grant Application Form |
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This research project aims to investigate how multi-level, multi-discipline design methods could be used more efficiently by modern stochastic global optimisers. Key to the proposed approach is the idea of using generational optimisation methods where individual members of each generation are calculated using a variety of different design codes in parallel on networks of computers. This would allow the use of stochastic optimisers which require many hundreds of design evaluations on problems where fully detailed analyses can take significant amounts of computer time to evaluate each design, but where simplified, but less accurate, calculations can be performed more readily.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.soton.ac.uk |