Relevant bibliographies by topics / Optimisation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optimisation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Optimisation"

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Jesudasan, Rejish, Ardeshir Hanifi, and Raffaello Mariani. "Investigating Planar and Nonplanar Wing Planform Optimisation for Ground Effect Aircraft." Aerospace 10, no. 11 (2023): 969. http://dx.doi.org/10.3390/aerospace10110969.

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Wing-in-Ground (WIG) effect aircraft are gaining attention for their potential in reducing environmental impact. However, optimising wing planforms based solely on aerodynamics might improve performance while compromising static height stability of WIG aircraft. This study investigates the effects of planar and nonplanar wing planform optimisation for regional transport ground effect aircraft. Three distinct multiobjective wing planform optimisations are explored: planar wing optimisation, nonplanar wing optimisation, and nonplanar wingtip optimisation. These optimisations assess the impact on
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Valetov, Eremey, Giovanni Dal Maso, Peter-Raymond Kettle, Andreas Knecht, and Angela Papa. "Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model." Particles 7, no. 3 (2024): 683–91. http://dx.doi.org/10.3390/particles7030039.

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The High Intensity Muon Beams (HIMB) project at the Paul Scherrer Institute (PSI) will deliver muon beams with unprecedented intensities of up to 1010muons/s for next-generation particle physics and material science experiments. This represents a hundredfold increase over the current state-of-the-art muon intensities, also provided by PSI. We performed beam dynamics optimisations and studies for the design of the HIMB beamlines MUH2 and MUH3 using Graphics Transport, Graphics Turtle, and G4beamline, the latter incorporating PSI’s own measured π+ cross-sections and variance reduction. We initia
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Wu, Qing, Colin Cole, Maksym Spiryagin, and Tim McSweeney. "Parallel multiobjective optimisations of draft gear designs." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 3 (2017): 744–58. http://dx.doi.org/10.1177/0954409717690981.

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This paper presents the methodology and results of the parallel multiobjective optimisations of draft gear designs. The methodology used white-box draft gear models, whose parameters were used as the optimisation variables. Two optimisation algorithms were used: genetic algorithm and particle swarm optimisation. All the optimised draft gear designs were constrained by impact tests to ensure that the optimised designs also comply with the current acceptance standards for draft gears. The performance of draft gears was assessed using whole-trip longitudinal train dynamics simulations and coupler
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Vankan, W. J., R. Maas, and S. Grihon. "Efficient optimisation of large aircraft fuselage structures." Aeronautical Journal 118, no. 1199 (2014): 31–52. http://dx.doi.org/10.1017/s0001924000008915.

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Abstract This paper presents an innovative optimisation method for aircraft fuselage structural design. Detailed local finite element analyses of panel buckling are further processed such that they can be applied as failure constraints in the global level optimisation. The high computational costs involved with the finite element analyses are limited by advanced use of surrogate modelling methods. This yields high flexibility and efficiency in the local level optimisation procedure and allows for efficient gradient based search methods as well as more costly direct search optimisations like ge
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Podobedov, Vitaly E. "DETERMINISTIC CHAOS PRODUCED BY LOCAL OPTIMISATION ALGORITHMS." Technological and Economic Development of Economy 13, no. 1 (2007): 61–66. http://dx.doi.org/10.3846/13928619.2007.9637777.

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Deterministic chaos situations produced by local optimisation algorithms are considered. A family of test multi‐extremal functions is proposed that allows getting the collections of functions with an arbitrary pre‐defined number of the local optima. Special software is developed for generating test functions from the family, performing multiple local optimisations of different initial points, visualising the chaotic attraction regions. Properties of the regions of attraction are presented. Regularity of the attraction regions is required to be a special characteristic of the local optimisation
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Tomašić, Dubravko, Dragan Peraković, and Marinko Jurčević. "Interdependence between Inventory Management and Employees’ Satisfaction." PROMET - Traffic&Transportation 25, no. 3 (2013): 245–54. http://dx.doi.org/10.7307/ptt.v25i3.909.

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The study determines the correlation between the application of advanced models and methods of inventory optimisation in the supply chain in relation to the satisfaction of employees who are responsible for managing the inventory optimisation processes. The previous studies confirm that the optimisation of inventory management in the supply chain insures competitive advantages on the market. There is space for further research of impact of the achieved inventory optimisation in the supply chain on the change of the employees’ satisfaction. The paper establishes the interrelation of the interde
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Ali Bahr Ennil and Abdulhafid M A Elfaghi. "Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis." Journal of Advanced Research in Applied Mechanics 120, no. 1 (2024): 40–49. http://dx.doi.org/10.37934/aram.120.1.4049.

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The turbine blade is designed to achieve expansion at high efficiency levels. For improving the turbine efficiency, different aerodynamic design optimisations are performed. On the other hand, the aerodynamic design must be enhanced to match the mechanical design. This research proposes a novel design optimisation method for both aerodynamic and mechanical requirements. A multidisciplinary optimisation approach is used to improve the reliability of the turbine design, which included the use of Computational Fluid Dynamics (CFD) models and Finite Element Analysis (FEA). The primary objective is
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Yudianto, Aan. "Application of Multi-objective Adjoint-based Aerodynamic Optimisation on Generic Road Vehicle with Rear Spoiler." Automotive Experiences 7, no. 1 (2024): 28–47. http://dx.doi.org/10.31603/ae.10577.

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Finding possible solutions where there are multiple conflicting objectives to be simultaneously satisfied is a challenging situation. Multi-objective optimisation of a rear spoiler on a generic road vehicle model is carried out by using adjoint-based optimisation coupled with Computational Fluid Dynamics. The study aims to reduce the vehicle drag and increase vehicle downforce simultaneously by optimising the shape of the spoiler, by allowing the deformation to achieve the most optimised shape assuming no manufacturing constraint. The OpenFOAM software was used for the solver. A strategy for m
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Jimenez-Garcia, A., M. Biava, G. N. Barakos, K. D. Baverstock, S. Gates, and P. Mullen. "Tiltrotor CFD Part II - aerodynamic optimisation of tiltrotor blades." Aeronautical Journal 121, no. 1239 (2017): 611–36. http://dx.doi.org/10.1017/aer.2017.21.

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ABSTRACTThis paper presents aerodynamic optimisation of tiltrotor blades with high-fidelity computational fluid dynamics. The employed optimisation framework is based on a quasi-Newton method, and the required high-fidelity flow gradients were computed using a discrete adjoint solver. Single-point optimisations were first performed to highlight the contrasting requirements of the helicopter and aeroplane flight regimes. It is then shown how a trade-off blade design can be obtained using a multi-point optimisation strategy. The parametrisation of the blade shape allowed the twist and chord dist
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Paler, Alexandru, and Robert Basmadjian. "Energy Cost of Quantum Circuit Optimisation: Predicting That Optimising Shor’s Algorithm Circuit Uses 1 GWh." ACM Transactions on Quantum Computing 3, no. 1 (2022): 1–14. http://dx.doi.org/10.1145/3490172.

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Quantum circuits are difficult to simulate, and their automated optimisation is complex as well. Significant optimisations have been achieved manually (pen and paper) and not by software. This is the first in-depth study on the cost of compiling and optimising large-scale quantum circuits with state-of-the-art quantum software. We propose a hierarchy of cost metrics covering the quantum software stack and use energy as the long-term cost of operating hardware. We are going to quantify optimisation costs by estimating the energy consumed by a CPU doing the quantum circuit optimisation. We use Q
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Dissertations / Theses on the topic "Optimisation"

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Moser, Irene. "Applying external optimisation to dynamic optimisation problems." Swinburne Research Bank, 2008. http://hdl.handle.net/1959.3/22526.

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Thesis (Ph.D) - Swinburne University of Technology, Faculty of Information & Communication Technologies, 2008.<br>[A thesis submitted in total fulfillment of the requirements of for the degree of Doctor of Philosophy, Faculty of Information and Communication Technologies, Swinburne University of Technology, 2008]. Typescript. Includes bibliographical references p. 193-201.
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Poole, Daniel. "Efficient optimisation methods for generic aerodynamic shape optimisation." Thesis, University of Bristol, 2017. http://hdl.handle.net/1983/66904840-aed2-4797-9fb1-9d2b1d8b86ae.

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Aerodynamic shape optimisation amalgamates three, often independent, modules; a shape control system, a flow solver and an optimisation algorithm. The cornerstone is the shape control system, which governs the mapping between the real, continuous aerodynamic shape to the discretised surface that is used within the computational domain, using a set of design variables. The overall objectives of this work are to have efficient optimisation and design space exploration. Hence the focus of this work is first, shape control, and second, the optimisation algorithm. First, a novel shape control syste
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Tall, Abdoulaye. "Optimisation et Auto-Optimisation dans les réseaux LTE." Thesis, Avignon, 2015. http://www.theses.fr/2015AVIG0208/document.

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Le réseau mobile d’Orange France comprend plus de 100 000 antennes 2G, 3G et 4G sur plusieurs bandes de fréquences sans compter les nombreuses femto-cells fournies aux clients pour résoudre les problèmes de couverture. Ces chiffres ne feront que s’accroître pour répondre à la demande sans cesse croissante des clients pour les données mobiles. Cela illustre le défi énorme que rencontrent les opérateurs de téléphonie mobile en général à savoir gérer un réseau aussi complexe tout en limitant les coûts d’opération pour rester compétitifs. Cette thèse s’attache à utiliser le concept SON (réseaux au
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Salazar, Lechuga Maximino. "Multi-objective optimisation using sharing in swarm optimisation algorithms." Thesis, University of Birmingham, 2009. http://etheses.bham.ac.uk//id/eprint/303/.

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Many problems in the real world are multi-objective by nature, this means that many times there is the need to satisfy a problem with more than one goal in mind. These type of problems have been studied by economists, mathematicians, between many more, and recently computer scientists. Computer scientists have been developing novel methods to solve this type of problems with the help of evolutionary computation. Particle Swarm Optimisation (PSO) is a relatively new heuristic that shares some similarities with evolutionary computation techniques, and that recently has been successfully modified
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Yin, Xuefei. "Application of multidisciplinary design optimisation to engine calibration optimisation." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5630.

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Automotive engines are becoming increasingly technically complex and associated legal emissions standards more restrictive, making the task of identifying optimum actuator settings to use significantly more difficult. Given these challenges, this research aims to develop a process for engine calibration optimisation by exploiting advanced mathematical methods. Validation of this work is based upon a case study describing a steady-state Diesel engine calibration problem. The calibration optimisation problem seeks an optimal combination of actuator settings that minimises fuel consumption, while
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Heinonen, Annika. "Process Optimisation - An empirical study of process optimisation in Finland." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-17746.

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The objective of this master’s thesis is to determine methods for improving a company’s business processes without investing in new technology and whether a relatively small company can benefit from investing in technology. This study determines the meaning of process optimisation and how it should be conducted. Using existing theory and the case of a logistics company operating in Finland, this research attempts to identify hindrances and find opportunities for the company to develop their processes through process optimisation without technology. Different public bodies in Finland (such as t
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Soltun, Sindre. "Fleet Management Optimisation." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10147.

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<p>This Master's Thesis is built around the concept of fleet management, focusing on designing and implementing a solution for such a purpose. As a target domain for this proposed system snow clearing has been chosen, and it is presented as background for the system realisation. An important feature in a fleet management system is route optimisation. Estimations based on real-world data can be used to construct more effective routes. This optimisation process is not straightforward though, as it belongs in a domain called Vehicle Routing Problems. These problems effectively becomes unsolvable
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Tournois, Jane. "Optimisation de maillages." Phd thesis, Université de Nice Sophia-Antipolis, 2009. http://tel.archives-ouvertes.fr/tel-00451619.

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Dans cette thèse, une approche pratique pour la génération de maillages triangulaires isotropes est proposée. En 2D comme en 3D, l'ob jectif consiste à mailler un domaine donné, pouvant avoir une géométrie complexe. L'approche présentée consiste à entrelacer des étapes de raffinement de Delaunay et des étapes d'optimisation de maillages dans le but de générer des maillages gradés de qualité. L'utilisateur peut contrôler les caractéristiques du maillage en définissant des critères de taille et de forme des simplexes, ainsi que de topologie et d'approximation. Les méthodes par éléments finis, larg
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Ning, Michael Zhu. "Relational combinatorial optimisation." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284507.

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Oliver, Kathryn E. "UMTS network optimisation." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/54561/.

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Network operators desire effective, pragmatic solutions to instances of the cell planning problem in order to improve their quality of service, enhance network coverage and capacity capability, and ultimately increase company profits. Previ ous cell plans have been constructed manually but these methods do not produce the best network configuration. More reliance has since been placed on automated cell planning to produce effective solutions. The introduction of the Universal Mobile Telecommunication System (UMTS) emphasizes the need for high perfor mance planning tools. Motivated by a discuss
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Books on the topic "Optimisation"

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Korte, Bernhard, Jens Vygen, Jean Fonlupt, and Alexandre Skoda. Optimisation combinatoire. Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99037-3.

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Hiriart-Urruty, Jean-Baptiste. L' optimisation. Presses universitaires de France, 1996.

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Pham, D. T., and D. Karaboga. Intelligent Optimisation Techniques. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0721-7.

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Dolgui, Alexandre, Jerzy Soldek, and Oleg Zaikin, eds. Supply Chain Optimisation. Springer US, 2005. http://dx.doi.org/10.1007/b101812.

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Brabazon, Anthony, and Seán McGarraghy. Foraging-Inspired Optimisation Algorithms. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-59156-8.

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Šibalija, Tatjana V., and Vidosav D. Majstorović. Advanced Multiresponse Process Optimisation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19255-0.

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Gandibleux, Xavier, Marc Sevaux, Kenneth Sörensen, and Vincent T’kindt, eds. Metaheuristics for Multiobjective Optimisation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17144-4.

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Lewis, Andrew, Sanaz Mostaghim, and Marcus Randall, eds. Biologically-Inspired Optimisation Methods. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01262-4.

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G, Hunt D., Collins M. W, and Atherton M. A. 1942-, eds. Optimisation mechanics in nature. WIT, 2004.

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R, Garside Gerald, ed. Optimisation methods in Pascal. Edward Arnold, 1987.

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Book chapters on the topic "Optimisation"

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Zemella, Giovanni, and Andrea Faraguna. "Optimisation." In Evolutionary Optimisation of Façade Design. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5652-9_2.

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Watson, Des. "Optimisation." In Undergraduate Topics in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52789-5_7.

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Woodford, C., and C. Phillips. "Optimisation." In Numerical Methods with Worked Examples: Matlab Edition. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1366-6_8.

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Soldani, David, Giovanni Giambiasi, Kimmo Valkealahti, et al. "Optimisation." In QoS and QoE Management in UMTS Cellular Systems. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470034057.ch10.

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French, Michael J. "Optimisation." In Conceptual Design for Engineers. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3627-9_3.

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Antia, H. M. "Optimisation." In Numerical Methods for Scientists and Engineers. Hindustan Book Agency, 2012. http://dx.doi.org/10.1007/978-93-86279-52-1_8.

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Kangas, Annika, Mikko Kurttila, Teppo Hujala, Kyle Eyvindson, and Jyrki Kangas. "Optimisation." In Decision Support for Forest Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23522-6_6.

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Croall, Ian F., and John P. Mason. "Optimisation." In Industrial Applications of Neural Networks. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84837-7_6.

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Dyke, Phil. "Optimisation." In Advanced Calculus. Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14076-3_4.

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Osterhage, Wolfgang W. "Optimisation." In Computer Performance Optimization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29971-1_5.

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Conference papers on the topic "Optimisation"

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Hanse, Eric. "TUNDISH STOPPER OPTIMISATION." In 39º Seminário de Aciaria - Internacional. Editora Blucher, 2008. https://doi.org/10.5151/2594-5300-2004-15827-0056.

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Tannenberg, Rafael, Karsten Hochkirch, Stephen R. Turnoc, and Stephen W. Boyd. "Adjoint Optimisation of Hydrofoils for Multiple Conditions." In SNAME 25th Chesapeake Sailing Yacht Symposium. SNAME, 2025. https://doi.org/10.5957/csys-2025-005.

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Hydrofoils in yacht racing are operated across a wide range of conditions. Between these conditions the state and the trim of the yacht changes significantly. This must be reflected in the optimisation of the hydrofoils. Previously, we have performed hydrofoil optimisations for a single condition. These were conducted using an adjoint velocity prediction program (VPP) in a gradient based optimisation routine. The method allows accurate optimisation with hundreds of design variables at a small computational cost. This framework is now extended to optimise foils for multiple conditions. Therefor
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John, Alistair, Guglielmo Vivarelli, Ning Qin, and Shahrokh Shahpar. "Using Feature-Based Mesh Adaptation to Improve the Adjoint Optimisation of Transonic Compressor Blades." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15351.

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Abstract The benefit of mesh adaptation to improve the optimisation process of turbomachinery components is here demonstrated for the first time. Mesh movement is used to automatically cluster and align the cells with significant flow features such as shocks, shock-induced separation and wakes for every geometry tested during a transonic compressor blade optimisation. Using mesh movement means that the same size grid is used while significantly improving the accuracy of the simulation and resulting adjoint gradients. A method is demonstrated to automatically carry out feature based mesh moveme
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Maumela, Tshifhiwa, Fulufhelo Nelwamondo, and Tshilidzi Marwala. "Portfolio Optimisation Using Ulimisana Optimisation Algorithm." In 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2022. http://dx.doi.org/10.1109/codit55151.2022.9803923.

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Cirmirakis, D., and J. K. Pollard. "Rowing optimisation." In 2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2009. http://dx.doi.org/10.1109/idaacs.2009.5343005.

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Branke, Juergen. "Simulation optimisation." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3323385.

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Branke, Juergen. "Simulation optimisation." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205651.3207887.

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Branke, Juergen. "Simulation Optimisation." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2926995.

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Assimi, Hirad, Frank Neumann, Markus Wagner, and Xiaodong Li. "Novelty particle swarm optimisation for truss optimisation problems." In GECCO '21: Genetic and Evolutionary Computation Conference. ACM, 2021. http://dx.doi.org/10.1145/3449726.3459572.

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Vikhe, Akshay Sunil, and A. A. Kalage. "Power System Optimisation using Ant Lion Optimisation Technique." In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2019. http://dx.doi.org/10.1109/iceca.2019.8822093.

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Reports on the topic "Optimisation"

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Horrocks, Ian, and Stephan Tobies. Optimisation of Terminological Reasoning. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.99.

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An extended abstract of this report was submitted to the Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR2000). When reasoning in description, modal or temporal logics it is often useful to consider axioms representing universal truths in the domain of discourse. Reasoning with respect to an arbitrary set of axioms is hard, even for relatively inexpressive logics, and it is essential to deal with such axioms in an efficient manner if implemented systems are to be effective in real applications. This is particularly relevant to Description Logics, whe
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Job, P. K., R. Blair, and L. Price. Optimisation studies for scintillator plate calorimeter. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/10184695.

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Kepser, Stephan, and Jörn Richts. Optimisation Techniques for Combining Constraint Solvers. Aachen University of Technology, 1996. http://dx.doi.org/10.25368/2022.72.

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Thompson. L52208 Coating and Backfill System Optimisation. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0010964.

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This project focuses specifically on the mechanical properties of a pipeline coating in relation to the need to use imported or site-processed bedding and padding materials to create the pipelines habitat. This project assesses whether mainline and field joint coatings, typically utilized for pipeline protection, possessed sufficient mechanical resistance to withstand backfilling, commissioning and service with bedding and padding materials that had undergone minimal processing. The project was carried out in two phases, the first involved a series of large-scale tests to assess the impact, pe
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Nobile, F., Q. Ayoul-Guilmard, S. Ganesh, et al. D6.5 Report on stochastic optimisation for wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.04.

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This report presents the latest methods of optimisation under uncertainties investigated in the ExaQUte project, and their applications to problems related to civil and wind engineering. The measure of risk throughout the report is the conditional value at risk. First, the reference method is presented: the derivation of sensitivities of the risk measure; their accurate computation; and lastly, a practical optimisation algorithm with adaptive statistical estimation. Second, this method is directly applied to a nonlinear relaxation oscillator (FitzHugh–Nagumo model) with numerical experiments t
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Ayoul-Guilmard, Q., F. Nobile, S. Ganesh, et al. D6.4 Report on stochastic optimisation for unsteady problems. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.003.

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This report brings together methodological research on stochastic optimisation and work on benchmark and target applications of the ExaQute project, with a focus on unsteady problems. A practical, general method for the optimisation of the conditional value at risk is proposed. Three different optimisation problems are described: an oscillator problem selected as a suitable trial and illustration case; the shape optimisation of an airfoil, chosen as a benchmark application in the project; the shape optimisation of a tall building, which is the challenging target application set for ExaQUte. Fo
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Dixon, L. C., and R. C. Price. Optimisation Algorithms for Highly Parallel Computer Architectures. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada235911.

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Friesen, Gabi, Leonardo Micheli, Gabriele Eder, et al. Optimisation of Photovoltaic Systems for Different Climates. IEA Photovoltaic Power Systems Programme, 2025. https://doi.org/10.69766/qsyc8858.

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Ayoul-Guilmard, Q., S. Ganesh, F. Nobile, R. Rossi, and C. Soriano. D6.3 Report on stochastic optimisation for simple problems. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.001.

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Abstract:
This report addresses the general matter of optimisation under uncertainties, following a previous report on stochastic sensitivities (deliverable 6.2). It describes several theoretical methods, as well their application into implementable algorithms. The specific case of the conditional value at risk chosen as risk measure, with its challenges, is prominently discussed. In particular, the issue of smoothness – or lack thereof – is addressed through several possible approaches. The whole report is written in the context of high-performance computing, with concern for parallelisation and cost-e
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Sibieta, Luke. Constrained optimisation? Teacher salaries, school resources and student achievement. The IFS, 2016. http://dx.doi.org/10.1920/ps.ifs.2024.0602.

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