In a collaborative project between GMAP Ltd and EPCC, an existing heuristic optimisation scheme for strategic resource planning was parallelised to run on the data parallel Connection Machine CM-200. The parallel software was found to run over 2700 times faster than the original workstation software
The parallel downhill simplex algorithm for unconstrained optimisation
โ Scribed by COETZEE, LOUIS; BOTHA, ELIZABETH C.
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 310 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1040-3108
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โฆ Synopsis
In this paper we present a parallel implementation of a well-known heuristic optimisation algorithm (the downhill simplex algorithm developed by Nelder and Mead in 1965) which is well suited for unconstrained optimisation. We present the sequential algorithm as well as the parallel algorithm which we used to generate numerical results. They include numerical results of experiments on neural networks and a test suite of functions which demonstrate the parallel algorithm's increased robustness and convergence rate for high-dimensional problems compared to the sequential algorithm.
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