Academic literature on the topic 'Automatic optimisation'

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Journal articles on the topic "Automatic optimisation"

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Hamidavi, Tofigh, Sepehr Abrishami, Pasquale Ponterosso, David Begg, and Nikos Nanos. "OSD." Construction Innovation 20, no. 2 (March 14, 2020): 149–69. http://dx.doi.org/10.1108/ci-11-2019-0126.

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Purpose The paper aims to leverage the importance of the integrated automatic structural design for tall buildings at the early stage. It proposes to use an automatic prototype to perform the structural design, analysis and optimisation in a building information modelling (BIM)-based platform. This process starts with extracting the required information from the architectural model in Revit Autodesk, such as boundary conditions and designs different options of the structural models in Robot Autodesk. In this process, Dynamo for Revit is used to define the mathematical functions to use different variables and generate various structural models. The paper aims to expand the domain of automation in the BIM platform to reduce the iterative process in different areas such as conceptual structural design and collaboration between architects and structural engineers to reduce the time and cost at the early stages. Design/methodology/approach The paper begins with an exploratory research by adopting a qualitative methodology and using open-ended questions to achieve more information about the phenomenon of automation and interoperability between structural engineers and architects and gain new insight into this area. Furthermore, correlation research is used by adopting quantitative and short questions to compare the proposed prototype with the traditional process of the structural design and optimisation and the interoperability between architects and engineers and consequently, validate the research. Findings As an outcome of the research, a structural design optimisation (SDO) prototype was developed to semi-automate the structural design process of tall buildings at the early stages. Moreover, the proposed prototype can be used during the early stage of structural design in different areas such as residential buildings, bridges, truss, reinforced concrete detailing, etc. Moreover, comprehensive literature regarding using automation in structural design, optimisation process and interoperability between architects and engineers is conducted that provides a new insight to contribute to future research and development. Research limitations/implications Due to the time limit, the paper results may lack in a comprehensive automatic structural design process. Therefore, the researchers are encouraged to expand the workability of the prototype for a comprehensive automatic design check such as automatic design for the minimum deflection, displacement of different types of buildings. Practical implications The prototype includes implications for the development of different automatic designs. Originality/value The focus of this paper is the optimisation of the structural design in the BIM platform by using automation. This combination is one of the novelties of this paper, and the existing literature has a very limited amount of information and similar work in this area, especially interoperability between architects and engineers.
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Hinterberger, Christof, Rolf Kaiser, and Mark Olesen. "Automatic shape optimisation of exhaust systems." Auto Tech Review 2, no. 3 (March 2013): 40–43. http://dx.doi.org/10.1365/s40112-013-0257-3.

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Sturdy, Derek. "Search Engine Optimisation and Automatic Classification." Legal Information Management 10, no. 1 (March 2010): 24–28. http://dx.doi.org/10.1017/s1472669610000071.

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AbstractDerek Sturdy explains the importance of search engine optimisation for the legal information professional involved in the organisation's website in the Google era and suggests that the most important pieces of information are the title and the abstract. He also discusses the rise in automatic classification in the enterprise search context.
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Shahpar, S. "Challenges to overcome for routine usage of automatic optimisation in the propulsion industry." Aeronautical Journal 115, no. 1172 (October 2011): 615–25. http://dx.doi.org/10.1017/s0001924000006308.

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Abstract In industry, there is an ever-increasing requirement not only to design high performance new products but also to deliver them at lower cost and in shorter time. To meet these demanding engineering challenges, it is not sufficient to treat the different disciplines involved in a product design in isolation; rather they must be considered together as an integrated system that reflects the dependencies and interactions of the different disciplines. The design process must be automated to meet the stringent design time-lines. In spite of promising forays for over a decade, automatic design optimisation (ADO) and multidisciplinary optimisation (MDO) has not been widely adapted by the Turbomachinery design practitioners. This presentation will explore some of the technical and nontechnical barriers such as cultural and organisational issues that must be addressed if ADO/MDO is to be used routinely in industry. Some recent, successful application of automatic optimisation is also reported herein.
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Liu, Cong, Aimin Zhou, and Guixu Zhang. "Automatic clustering method based on evolutionary optimisation." IET Computer Vision 7, no. 4 (August 2013): 258–71. http://dx.doi.org/10.1049/iet-cvi.2012.0187.

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Al-Mouhamed, Mayez, and Ayaz ul Hassan Khan. "Exploration of automatic optimisation for CUDA programming." International Journal of Parallel, Emergent and Distributed Systems 30, no. 4 (September 16, 2014): 309–24. http://dx.doi.org/10.1080/17445760.2014.953158.

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Helle, K. B., T. O. Müller, P. Astrup, and J. E. Dyve. "Automatic optimisation of gamma dose rate sensor networks: The DETECT Optimisation Tool." Computers & Geosciences 66 (May 2014): 158–67. http://dx.doi.org/10.1016/j.cageo.2013.12.014.

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Kiani, Mansoor, Stephen Bonsall, Jin Wang, and Alan Wall. "An Experimental Evaluation of the Economic Feasibility of Automated Quayside Cranes." Marine Technology Society Journal 40, no. 1 (March 1, 2006): 51–61. http://dx.doi.org/10.4031/002533206787353682.

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The majority of the studies on Quayside Cranes (QSCs) focus on optimising the automatic capabilities of the cranes and very few have studied their economic implications. This paper examines the economic feasibility of reducing QSCs' cycle-times resulting from automated features installed on existing post-Panamax cranes. It demonstrates that a considerable increase in productivity of QSCs is related directly or indirectly to an expected reduction of crane cycle-times. The study sets up the need for the proposed improvements through automation and explains the concepts of the systems involved. The concept offered by the proposed improvements distinguishes between the traditional system of loading and discharging of the containers and the automated methods. The evaluations and analyses in this study demonstrate that optimisation of the quayside operation enables the terminal operators to reduce turnaround time and port stays of containerships. The study illustrates that the expected economic benefits achieved from the improvement of the QSCs' performance, with regard to adoption of automated devices in this experiment, far exceeds the cost of adopting the various automatic devices.
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Walker, Martin, Mark-Oliver Reiser, Sara Tucci-Piergiovanni, Yiannis Papadopoulos, Henrik Lönn, Chokri Mraidha, David Parker, DeJiu Chen, and David Servat. "Automatic optimisation of system architectures using EAST-ADL." Journal of Systems and Software 86, no. 10 (October 2013): 2467–87. http://dx.doi.org/10.1016/j.jss.2013.04.001.

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Girdinio, P., and M. Nervi. "Techniques for the automatic optimisation of active shields." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 20, no. 3 (September 2001): 732–39. http://dx.doi.org/10.1108/03321640110393734.

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Dissertations / Theses on the topic "Automatic optimisation"

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Syed, Ahmad Sharifah M. "Automatic signature verification optimisation tools." Thesis, University of Kent, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405986.

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Rowsell, Philip J. "The automatic optimisation of drilling performance." Thesis, University of Nottingham, 1991. http://eprints.nottingham.ac.uk/11909/.

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The drilling industry, along with many others, is becoming increasingly competitive, demanding greater efforts to improve safety and reduce costs. For this reason, companies are progressively looking towards computerised automation to enhance performance. Unlike most industries however, the drilling industry has been slow to take advantage of the advances in computer and automation technology. Only recently have automatic operations such as tubular handling been placed under computer control. These activities relate to peripheral mechanical handling problems which are relatively easy to solve. The concept of an automatic intelligent drill, capable of making its own or assisted decisions about drilling parameters such as weight on bit or rotational speed, may seem remote and far into the future. Research in drilling automation, at the University of Nottingham, has the ultimate objective of achieving computerized drill control through the the application of an intelligent knowledge induction system. At the University, a laboratory rig has been developed with such a system installed. Decisions for optimal performance are based on either maximum penetration or minimum cost drilling. The system has a self-learning capability, allowing a progressive improvement in performance. The prototype system is currently undergoing trials, using real data collected while the laboratory rig is drilling and artificial data. The results are very encouraging and demonstrate the feasibility and advantages of optimised drill performance. This thesis describes the design and development of this drill optimisation scheme produced by the author. Both the theory behind the optimisation system, and the results of the initial phase of Laboratory testing are included.
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Price, R. C. "Sparse matrix optimisation using automatic differentiation." Thesis, University of Hertfordshire, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379908.

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Woodland, Daniel. "Optimisation of automatic train protection systems." Thesis, University of Sheffield, 2005. http://etheses.whiterose.ac.uk/14543/.

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Cooper, Jonathan Paul. "Automatic validation and optimisation of biological models." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:24b96d62-b47c-458d-9dff-79b27dbdc9f2.

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Simulating the human heart is a challenging problem, with simulations being very time consuming, to the extent that some can take days to compute even on high performance computing resources. There is considerable interest in computational optimisation techniques, with a view to making whole-heart simulations tractable. Reliability of heart model simulations is also of great concern, particularly considering clinical applications. Simulation software should be easily testable and maintainable, which is often not the case with extensively hand-optimised software. It is thus crucial to automate and verify any optimisations. CellML is an XML language designed for describing biological cell models from a mathematical modeller’s perspective, and is being developed at the University of Auckland. It gives us an abstract format for such models, and from a computer science perspective looks like a domain specific programming language. We are investigating the gains available from exploiting this viewpoint. We describe various static checks for CellML models, notably checking the dimensional consistency of mathematics, and investigate the possibilities of provably correct optimisations. In particular, we demonstrate that partial evaluation is a promising technique for this purpose, and that it combines well with a lookup table technique, commonly used in cardiac modelling, which we have automated. We have developed a formal operational semantics for CellML, which enables us to mathematically prove the partial evaluation of CellML correct, in that optimisation of models will not change the results of simulations. The use of lookup tables involves an approximation, thus introduces some error; we have analysed this using a posteriori techniques and shown how it may be managed. While the techniques could be applied more widely to biological models in general, this work focuses on cardiac models as an application area. We present experimental results demonstrating the effectiveness of our optimisations on a representative sample of cardiac cell models, in a variety of settings.
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Stott, Jonathan. "Automatic Layout of Metro Maps Using Multicriteria Optimisation." Thesis, University of Kent, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499775.

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Luangpaiboon, Pongchanun. "A comparison of algorithms for automatic process optimisation." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324922.

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Ugail, Hassan, M. I. G. Bloor, and M. J. Wilson. "Implementing automatic design optimisation in an interactive environment." American Institute of Aeronautics and Astronautics, 2000. http://hdl.handle.net/10454/2942.

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Ugail, Hassan, and M. J. Wilson. "Automatic design and optimisation of thermoformed thin-walled structures." American Institute of Aeronautics and Astronautics, 2004. http://hdl.handle.net/10454/2954.

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Yes
Here the design and functional optimisation of thermoformed thin-walled structures made from plastics is considered. Such objects are created in great numbers especially in the food packaging industry. In fact these objects are produced in such vast numbers each year, that one important task in the design of these objects is the minimisation of the amount of plastic used, subject to functional constraints. In this paper a procedure for achieving this is described, which involves the automatic optimisation of the mold shape taking into account the strength of the final object and its thickness distribution, thus reducing the need to perform inefficient and expensive `trial and error¿ experimentation using physical prototypes. An efficient technique for parameterising geometry is utilised here, enabling to create a wide variety of possible mold shapes on which appropriate analysis can be performed. The results of the analysis are used within an automatic optimisation routine enabling to find a design which satisfies user requirements. Thus, the paper describes a rational means for the automatic optimal design of composite thermoformed thin-walled structures.
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Culioli, Jean-Christophe. "Algorithmes de décomposition/coordination en optimisation stochastique." Phd thesis, École Nationale Supérieure des Mines de Paris, 1987. http://pastel.archives-ouvertes.fr/pastel-00834013.

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Books on the topic "Automatic optimisation"

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M, Renard, and Bimbenet J. J, eds. Automatic control and optimisation of food processes. London: Elsevier Applied Science, 1988.

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1961-, Yang Jian-Bo, and Whidborne J. F. 1960-, eds. Multiobjective optimisation and control. Baldock, Hertfordshire, England: Research Studies Press, 2003.

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R, Bars, Gyurkovics É, and International Federation of Automatic Control., eds. Control applications of optimisation 2003 (CAO 2003): A proceedings volume from the 12th IFAC Workshop, Visegrád, Hungary, 30 June - 2 July 2003. Oxford: Published for the Federation of Automatic Control by Elsevier, 2003.

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1950-, Cipriano Aldo, and Ordys A. W. 1956-, eds. Optimisation of industrial processes at supervisory level: Application to control of thermal power plants. London: Springer, 2002.

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John, Cagnol, and Zolésio J. P, eds. System modeling and optimization: Proceedings of the 21st IFIP TC7 Conference held in July 21st-25th, 2003, Sophia Antipolis, France. [Boston?]: Kluwer Academic Publishers, 2005.

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Kilkki, Juha. Automated formulation of optimisation models for steel beam structures. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.

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Nawrocki, Maciej J., Mischa Dohler, and A. Hamid Aghvami, eds. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470030569.

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Carroll, S. J. Automated optimisation of the design of gallium arsenide switched capacitor circuits. Manchester: UMIST, 1993.

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J, Henry, Yvon J. -P, and International Federation for Information Processing., eds. System modelling and optimization: Proceedings of the 16th IFIP-TC7 conference, Compiègne, France, July 5-9, 1993. London: Springer-Verlag, 1994.

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Choi-Hong, Lai, and Wu Xiao-Jun, eds. Particle swarm optimisation: Classical and quantum perspectives. Boca Raton: CRC Press, 2011.

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Book chapters on the topic "Automatic optimisation"

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Jaworski, Armen, and Jens-Dominik Müller. "Toward Modular Multigrid Design Optimisation." In Advances in Automatic Differentiation, 281–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68942-3_25.

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Spracklen, Patrick, Nguyen Dang, Özgür Akgün, and Ian Miguel. "Automatic Streamlining for Constrained Optimisation." In Lecture Notes in Computer Science, 366–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30048-7_22.

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Abiri, Roni, Ziemowit Neyman, Andreas Eisenblätter, and Hans-Florian Geerdes. "Automatic Network Design." In Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation, 379–403. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470030569.ch15.

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Casanova, Daniele, Robin S. Sharp, Mark Final, Bruce Christianson, and Pat Symonds. "Application of Automatic Differentiation to Race Car Performance Optimisation." In Automatic Differentiation of Algorithms, 117–24. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0075-5_12.

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Cabarbaye, A. "Automatic Generation and Optimisation of Markov Matrices." In Embedded System Applications, 133–39. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2574-2_9.

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Dixon, L. C. W. "Automatic Differentiation and Parallel Processing in Optimisation." In Optimization, Parallel Processing and Applications, 86–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-46631-1_9.

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Forth, Shaun A., and Trevor P. Evans. "Aerofoil Optimisation via AD of a Multigrid Cell-Vertex Euler Flow Solver." In Automatic Differentiation of Algorithms, 153–60. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0075-5_17.

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Oster, Norbert, and Francesca Saglietti. "Automatic Test Data Generation by Multi-objective Optimisation." In Lecture Notes in Computer Science, 426–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11875567_32.

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Clarizia, Fabio, Luca Greco, and Paolo Napoletano. "An Adaptive Optimisation Method for Automatic Lightweight Ontology Extraction." In Enterprise Information Systems, 357–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19802-1_25.

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Boudjemaa, R., M. I. G. Bloor, and M. J. Wilson. "Use of Reverse Automatic Differentiation in Ship Hull Optimisation." In The Mathematics of Surfaces IX, 281–305. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0495-7_17.

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Conference papers on the topic "Automatic optimisation"

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Ciampoli, Fabio, John W. Chew, Shahrokh Shahpar, and Elisabeth Willocq. "Automatic Optimisation of Pre-Swirl Nozzle Design." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90249.

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The objective of the research described here is to develop and demonstrate use of automatic design methods for pre-swirl nozzles. Performance of pre-swirled cooling air delivery systems depends critically on the design of these nozzles which is subject to manufacturing and stress constraints. The best solution may be a compromise between cost and performance. Here it is shown that automatic optimisation using computational fluid dynamics (CFD) to evaluate nozzle performance can be useful in design. A parametric geometric model of a nozzle with appropriate constraints is first defined and the CFD meshing and solution are then automated. The mesh generation is found to be the most delicate task in the whole process. Direct hill climbing (DHC) and response surface model (RSM) optimisation methods have been evaluated. For the test case considered, significant nozzle performance improvements were obtained using both methods, but the RSM model was preferred.
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Schlaps, R. C., S. Shahpar, and V. Gümmer. "Automatic Three-Dimensional Optimisation of a Modern Tandem Compressor Vane." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26762.

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In order to increase the performance of a modern gas turbine, compressors are required to provide higher pressure ratio and avoid incurring higher losses. The tandem aerofoil has the potential to achieve a higher blade loading in combination with lower losses compared to single vanes. The main reason for this is due to the fact that a new boundary layer is generated on the second blade surface and the turning can be achieved with smaller separation occurring. The lift split between the two vanes with respect to the overall turning is an important design choice. In this paper an automated three-dimensional optimisation of a highly loaded compressor stator is presented. For optimisation a novel methodology based on the Multipoint Approximation Method (MAM) is used. MAM makes use of an automatic design of experiments, response surface modelling and a trust region to represent the design space. The CFD solutions are obtained with the high-fidelity 3D Navier-Stokes solver HYDRA. In order to increase the stage performance the 3D shape of the tandem vane is modified changing both the front and rear aerofoils. Moreover the relative location of the two aerofoils is controlled modifying the axial and tangential relative positions. It is shown that the novel optimisation methodology is able to cope with a large number of design parameters and produce designs which performs better than its single vane counterpart in terms of efficiency and numerical stall margin. One of the key challenges in producing an automatic optimisation process has been the automatic generation of high-fidelity computational meshes. The multi block-structured, high-fidelity meshing tool PADRAM is enhanced to cope with the tandem blade topologies. The wakes of each aerofoil is properly resolved and the interaction and the mixing of the front aerofoil wake and the second tandem vane are adequately resolved.
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FitzRoy-Dale, Nicholas, and Ihor Kuz. "Towards automatic performance optimisation of componentised systems." In the Second Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1519130.1519136.

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Elmsallati, Salem Mohamed, and David R. Davies. "Automatic Optimisation of Infinite Variable Control Valves." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2005. http://dx.doi.org/10.2523/iptc-10319-ms.

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Cravero, C., and W. N. Dawes. "Throughflow Design Using an Automatic Optimisation Strategy." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-294.

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A procedure has been developed to optimise the design of an axial turbine stage. A standard, streamline curvature throughflow code, with standard loss correlations, was combined with a simple parameterisation of the geometry and a standard, constrained minimisation routine. An analytic differentiation of the loss correlations was also carried out to provide insight into the influence of each of the flow variables on the stage performance. The complete procedure has been demonstrated on a single high pressure axial steam turbine stage. The initial and optimised configurations for the stage were then analysed using a 3D Navier-Stokes solver. The results confirm the improved performance and give some additional insight into the origin of the benefits.
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Marjavaara, B. D., and T. S. Lundstro¨m. "Automatic Shape Optimisation of a Hydropower Draft Tube." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45181.

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Draft tube designs have to a large extend been based on intuition and on the experience of the design engineer. In a close future, CFD simulations coupled with optimisation algorithms will assist in the search for an optimal technical solution. Such a shape optimisation technique to redesign an existing draft tube is presented in this paper. By this method, a design can be predicted in terms of a predefined objective function, here the pressure recovery factor. The optimisation is performed with the Response Surface Method (RSM) implemented on the commercial code iSIGHT7.0, while the CFD simulations are carried out with the commercial code CFX4.4. The boundary conditions are based on detailed experimental data and the turbulence is modelled with the standard k-ε turbulence model. With this set-up and with two different parameterisations, Adapted and Profile Design respectively, an optimal geometry of the ERCOFTAC Turbine-99 draft tube can be predicted.
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Niu, Xinyu, Nicholas Ng, Tomofumi Yuki, Shaojun Wang, Nobuko Yoshida, and Wayne Luk. "EURECA compilation: Automatic optimisation of cycle-reconfigurable circuits." In 2016 26th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2016. http://dx.doi.org/10.1109/fpl.2016.7577359.

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Kurek, Maciej, Marc Peter Deisenroth, Wayne Luk, and Timothy Todman. "Knowledge Transfer in Automatic Optimisation of Reconfigurable Designs." In 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2016. http://dx.doi.org/10.1109/fccm.2016.29.

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Ugail, Hassan, Malcolm Bloor, and Michael Wilson. "Implementing automatic design optimisation in an interactive environment." In 8th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4858.

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Cook, Michael, Jeremy Gow, and Simon Colton. "Towards the automatic optimisation of procedural content generators." In 2016 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, 2016. http://dx.doi.org/10.1109/cig.2016.7860424.

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