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Yu.M. Korolev, V.V. Toropov, "The Multipoint Approximation Method as a Parallel Optimisation Framework for Problems with Computationally Expensive Responses", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2015. doi:10.4203/ccp.107.3

Keywords: multipoint approximation method, metamodeling, engineering optimisation.

Summary

The multipoint approximation method was developed as an optimisation framework for engineering problems with computationally expensive and noisy responses. It combines metamodeling techniques with the trust region approach. In this method, the original optimisation problem is replaced by a sequence of approximate problems, which are solved in a sequence of trust regions.

In this paper, a new implementation of the multipoint approximation method is presented, which adheres to the paradigm of parallel computations. The algorithm presented here adjusts to the available computational resources by managing the calls to the external computationally expensive software (typically, computational fluid dynamics) according to the number of available processors. The latest redevelopment of the multipoint approximation method not only assures that the available computational resources are used uniformly but also improves non-local properties of the optimisation algorithm.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 107 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 3 The Multipoint Approximation Method as a Parallel Optimisation Framework for Problems with Computationally Expensive Responses Yu.M. Korolev and V.V. Toropov School of Engineering and Materials Science, Queen Mary University of London, United Kingdom doi:10.4203/ccp.107.3 purchase the full-text of this paper Full Bibliographic Reference for this paper Yu.M. Korolev, V.V. Toropov, "The Multipoint Approximation Method as a Parallel Optimisation Framework for Problems with Computationally Expensive Responses", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2015. doi:10.4203/ccp.107.3 Keywords: multipoint approximation method, metamodeling, engineering optimisation. Summary The multipoint approximation method was developed as an optimisation framework for engineering problems with computationally expensive and noisy responses. It combines metamodeling techniques with the trust region approach. In this method, the original optimisation problem is replaced by a sequence of approximate problems, which are solved in a sequence of trust regions. In this paper, a new implementation of the multipoint approximation method is presented, which adheres to the paradigm of parallel computations. The algorithm presented here adjusts to the available computational resources by managing the calls to the external computationally expensive software (typically, computational fluid dynamics) according to the number of available processors. The latest redevelopment of the multipoint approximation method not only assures that the available computational resources are used uniformly but also improves non-local properties of the optimisation algorithm. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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