| EPSRC Reference: |
GR/J52655/01 |
| Title: |
DEVELOPMENT OF PARALLEL DECISION ALGORITHMS: EFFICIENCY AND PORTABILITY |
| Principal Investigator: |
Darlington, Professor J |
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| Department: |
Computing |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
11 August 1994 |
Ends: |
10 September 1997 |
Value (£): |
215,066
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Summary on Grant Application Form |
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To investigate generic, portable parallel decision support algorithms for uncertainty. To investigate applications in chemical engineering optimal process design and, if time permits, economic forecasting under uncertainty.Progress:Meetings have been held with personnel from the Centre for Process Systems Engineering and the London Business School to discuss the algorithmic requirements of these areas. The basic optimisation algorithm (the deterministic version) to be used in chemical engineering optimal process design under uncertainty has been implemented and tested. This is the initial sequential version. Tests carried out on small chemical process examples have shown that the algorithm is superior to those currently employed in standard subroutines by several orders of magnitude. It is expected that this performance advantage will become even more marked for complex problems. As the basic deterministic algorithm has to be solved numerous times (in parallel) for problems under uncertainty, an efficient algorithm was essential. Currently, the parallel parallelization of the step size strategy (line search) is being considered along with the Monte-Carlo simulations of the effect of uncertainties. The former will be considered in detail first to fully resolve the basic deterministic problem In the meantime, the problem complexity is being gradually increased (initially only deterministic problems are being tested).
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
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| Description |
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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.imperial.ac.uk |