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Paper II.10

A Platform Independent Engineering Optimisation Tool based on Genetic Algorithms and Distributed Computing Applied to Gas Turbine Combustor Preliminary Design

J.M. Rogero and P.A. Rubini

School of Mechanical Engineering, Cranfield University, Cranfield, United Kingdom

doi:10.4203/ccp.64.2.10

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J.M. Rogero, P.A. Rubini, "A Platform Independent Engineering Optimisation Tool based on Genetic Algorithms and Distributed Computing Applied to Gas Turbine Combustor Preliminary Design", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 143-149, 2000. doi:10.4203/ccp.64.2.10

Abstract

This paper presents a modular optimisation toolbox based on genetic algorithms, tuned for engineering design. The tool box designed to be interfaced with traditional engineering analysis packages, and evaluating the possible solution of the optimisation problem in parallel over a distributed network of heterogenous workstations. The optimiser was applied to a high-dimensional optimisation problem for gas turbine combustor preliminary design where the aims were, first, to achieve the same performance targets as traditional design, and in a second step to surpass the manual design.

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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: 64 COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE Edited by: B.H.V. Topping Paper II.10 A Platform Independent Engineering Optimisation Tool based on Genetic Algorithms and Distributed Computing Applied to Gas Turbine Combustor Preliminary Design J.M. Rogero and P.A. Rubini School of Mechanical Engineering, Cranfield University, Cranfield, United Kingdom doi:10.4203/ccp.64.2.10 purchase the full-text of this paper Full Bibliographic Reference for this paper J.M. Rogero, P.A. Rubini, "A Platform Independent Engineering Optimisation Tool based on Genetic Algorithms and Distributed Computing Applied to Gas Turbine Combustor Preliminary Design", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 143-149, 2000. doi:10.4203/ccp.64.2.10 Abstract This paper presents a modular optimisation toolbox based on genetic algorithms, tuned for engineering design. The tool box designed to be interfaced with traditional engineering analysis packages, and evaluating the possible solution of the optimisation problem in parallel over a distributed network of heterogenous workstations. The optimiser was applied to a high-dimensional optimisation problem for gas turbine combustor preliminary design where the aims were, first, to achieve the same performance targets as traditional design, and in a second step to surpass the manual design. 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 £52 +P&P)
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