Literatura académica sobre el tema "Co-Optimisation"
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Artículos de revistas sobre el tema "Co-Optimisation"
Guan, X. "Supersonic wing-body wave drag co-ordinated optimisation based on FCE methodology". Aeronautical Journal 118, n.º 1209 (noviembre de 2014): 1359–72. http://dx.doi.org/10.1017/s0001924000010010.
Texto completoKumar, K. C. Hari, I. Ansara, P. Wollants y L. Delaey. "Thermodynamic optimisation of the Co–Nb system". Journal of Alloys and Compounds 267, n.º 1-2 (marzo de 1998): 105–12. http://dx.doi.org/10.1016/s0925-8388(97)00465-9.
Texto completoYang, Liunan, Massimiliano Gobbi, Gianpiero Mastinu, Giorgio Previati y Federico Ballo. "Multi-Disciplinary Optimisation of Road Vehicle Chassis Subsystems". Energies 15, n.º 6 (16 de marzo de 2022): 2172. http://dx.doi.org/10.3390/en15062172.
Texto completoWejnerowska, Grażyna y Anna Ciaciuch. "Optimisation of oil extraction from quinoa seeds with supercritical carbon dioxide with co-solvents". Czech Journal of Food Sciences 36, No. 1 (28 de febrero de 2018): 81–87. http://dx.doi.org/10.17221/122/2017-cjfs.
Texto completoKim, H. J., J. Shin, S. Kang, S. J. Kim y M. J. Tahk. "Ionic electroactive polymer control using co-evolutionary optimisation". Electronics Letters 43, n.º 16 (2007): 859. http://dx.doi.org/10.1049/el:20071315.
Texto completoKianifar, Mohammed Reza y Felician Campean. "Global Optimisation of Car Front-End Geometry to Minimise Pedestrian Head Injury Levels". Proceedings of the Design Society: International Conference on Engineering Design 1, n.º 1 (julio de 2019): 2873–82. http://dx.doi.org/10.1017/dsi.2019.294.
Texto completoAzizul, Nurul Husna, Hermizi Hapidin, Hasmah Abdullah, Maryam Azlan, Ahmad Azlina y Ima Nirwana Soelaiman. "Optimisation of Human Osteoblasts and Osteoclasts Co-Culture Model". Asian Journal of Medicine and Biomedicine 6, S1 (9 de noviembre de 2022): 78–80. http://dx.doi.org/10.37231/ajmb.2022.6.s1.535.
Texto completoGao, Yichen, Ming Zhao y Xiaoyu Song. "Parameter co-evolution mechanism of particle swarm optimisation algorithm". International Journal of Simulation and Process Modelling 15, n.º 3 (2020): 255. http://dx.doi.org/10.1504/ijspm.2020.10029339.
Texto completoZhao, Ming, Xiaoyu Song y Yichen Gao. "Parameter co-evolution mechanism of particle swarm optimisation algorithm". International Journal of Simulation and Process Modelling 15, n.º 3 (2020): 255. http://dx.doi.org/10.1504/ijspm.2020.107327.
Texto completoRashid, A. N. M. Bazlur y Tonmoy Choudhury. "Cooperative Co-Evolution and MapReduce". International Journal of Information Technology Project Management 12, n.º 1 (enero de 2021): 29–62. http://dx.doi.org/10.4018/ijitpm.2021010102.
Texto completoTesis sobre el tema "Co-Optimisation"
Corner, Philip Anthony. "Pharmaceutical co-crystals : screening optimisation, utility and performance". Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12427/.
Texto completoScholey, D. W. "Optimisation of distillery co-products for poultry feed". Thesis, Nottingham Trent University, 2012. http://irep.ntu.ac.uk/id/eprint/144/.
Texto completoCamino, Jean-Thomas. "Co-optimisation charge utile satellite et système télécom". Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30401.
Texto completoThe continuous growth in telecommunication needs in our society translates into a series of technical challenges for the systems that provide such services, whether it is television broadcasting, telephone, or data exchange. The telecommunication satellites are particularly concerned by this need for innovation, both on the embarked technologies but also on the way the resulting resources are exploited for the end users. On the latter point, for a telecommunication mission defined precisely in terms of service zone, type, quantity and quality of service, one has to be able to size as adequately as possible the telecommunication satellite payload, under the several constraints it is subject to: mass, volume, cost, and power consumption of the embarked hardware. This thesis develops an algorithmic approach for a such a sizing in the particular case of the telecommunication systems that are said to be "multi-beam". A global optimization process of these satellite system is proposed. It relies on a decomposition into a set of mathematical problems whose respective complexities, reduced with respect to the original problem, allow to reasonably aim for efficient algorithmic solutions. This work allowed to identify two key problems in this satellite payload sizing, addressed through an operations research angle: the beam layout optimization and the frequency plan optimization. This first beam layout problem under payload constraints has been an occasion to propose novel ways to handle Euclidean norm constraints on continuous variables for non-convex non-linear mixed programs. These techniques have been then successfully applied in for the generation of solutions to this first problem that fully exploits the mixed integer linear programming formalism. Then, a novel exploitation of some of the properties of the k-means clustering has been proposed as it allows to simplify these mathematical models and therefore accelerate the beam layout optimization. These mathematical programming algorithms have been then compared to a greedy heuristic developed during this thesis work. The second central sizing problem that has been identified is the frequency plan definition. It consists in a resource allocation of on-board satellite resources to the several beams that have been defined in the preceding beam layout optimization problem. With an objective of minimizing the number of a certain type of hardware to be embarked on the payload, the satisfaction of the telecommunication mission defined by an individual demand of all the end users on the ground is aimed. This complex problem itself lead to a decomposition into two sub-problems of frequency and on-board payload hardware allocation, that are treated with constraints programming and integer linear programming, exploiting theoretical results that are useful both at the problem modeling and problem solving levels
Pichot, Antoine. "Co-allocation de ressources distribuées : architectures, protocoles, optimisation". Phd thesis, Paris, ENST, 2008. http://pastel.archives-ouvertes.fr/pastel-00003806.
Texto completoNew computing applications require nowadays a physical distribution of computing resources. These geographically distributed resources belonging to different organizations must be associated logically in order to solve cooperatively a given problem or to provide a given service. The virtual infrastructure corresponding to the set of these distributed and remote resources and to the inherent underlying networking facilities is called a Grid. Present models do not enable network and other resources such as computing or storage to be co-allocated on demand, nor do they guarantee the Quality of Service. The aim of this thesis is first to provide a review of the state of the art on co-allocation. For that purpose, various environments such as Web Services distributed resources management systems, IP Multimedia Subsystem and Generalized Multi-protocol Label Switching architecture are considered. We propose extensions to existing Grid toolkits, WS, IMS and GMPLS for dynamic resource co-allocation provisioning. The suitability of each of these approaches for Grid services provisioning is investigated and compared to the other alternatives. We then analyze a WS based protocol between a global resource coordinator (Grid Scheduler) and local resources managers (local schedulers). Algorithms are proposed to model the possible interactions between the grid scheduler, the network resource manager and the local schedulers. A co-allocation algorithm is proposed to improve the efficiency as seen by the end user and the resource providers. An analytical model is proposed to predict and understand the performance; simulations are run to verify the validity of the model and the results
Sandberg, Peter. "Optimisation and co-operative perspectives on industrial energy systems /". Linköping : Univ, 2004. http://www.bibl.liu.se/liupubl/disp/disp2004/tek913s.pdf.
Texto completoObhielo, Esgeboria. "Synthesis, characterisation and optimisation of novel adsorbents for CO₂ capture". Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24838.
Texto completoBarrett, Colin Ronald Benjamin. "Co-designing software abstraction and optimisation for productivity and performance". Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/codesigning-software-abstraction-and-optimisation-for-productivity-and-performance(1a567441-978e-4b91-a613-1af723fe5251).html.
Texto completoNwosu, Nkem O. E. "Optimisation of electroless co-deposited solid oxide fuel cell electrodes". Thesis, Edinburgh Napier University, 2013. http://researchrepository.napier.ac.uk/Output/6448.
Texto completoGKIKAKIS, ANTONIOS EMMANOUIL. "Mechanism and Behaviour Co-optimisation of High Performance Mobile Robots". Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1045130.
Texto completoRamirez, Guerrero Diego Fernando. "Optimisation of oil recovery from sludges with surfactants and co-solvents". Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/69469/.
Texto completoLibros sobre el tema "Co-Optimisation"
C, Vital João y Franca José, eds. Systematic design for optimisation of pipelined ADCs. Boston: Kluwer Academic Publishers, 2001.
Buscar texto completoSchiemann, Anja, Clara Remke y Katharina Büchler, eds. HEADS, KURS & Co. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845297866.
Texto completoGoes, João, João C. Vital y José E. Franca. Systematic Design for Optimisation of Pipelined ADCs. Springer London, Limited, 2006.
Buscar texto completoGoes, João, João C. Vital y José E. Franca. Systematic Design for Optimisation of Pipelined ADCs. Springer, 2010.
Buscar texto completoGoes, João, João C. Vital y José E. Franca. Systematic Design for Optimisation of Pipelined ADCs (The Springer International Series in Engineering and Computer Science). Springer, 2001.
Buscar texto completoCapítulos de libros sobre el tema "Co-Optimisation"
Maneeratana, Kuntinee, Kittipong Boonlong y Nachol Chaiyaratana. "Multi-objective Optimisation by Co-operative Co-evolution". En Lecture Notes in Computer Science, 772–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30217-9_78.
Texto completoNgo, Trung Dung. "Distributed Co-optimisation of Throughput for Mobile Sensor Networks". En Springer Tracts in Advanced Robotics, 419–32. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55879-8_29.
Texto completoNikfarjam, Adel, Aneta Neumann, Jakob Bossek y Frank Neumann. "Co-evolutionary Diversity Optimisation for the Traveling Thief Problem". En Lecture Notes in Computer Science, 237–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14714-2_17.
Texto completoPurshouse, Robin C., Cezar Jalbă y Peter J. Fleming. "Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation". En Lecture Notes in Computer Science, 136–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19893-9_10.
Texto completoQi, Jianhui. "Multi-objective Optimisation for Supercritical CO$$_2$$ Radial Inflow Turbine Stator". En Simulation Tools and Methods for Supercritical Carbon Dioxide Radial Inflow Turbine, 197–235. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2860-4_7.
Texto completoDammers, J., G. R. Barnes, F. Weise, J. Gross, B. S. Clewett, A. A. Ioannides y H. W. Müller-Gärtner. "Optimisation of Co-Registration Procedures for Biomagnetic Measurements Using a Thermoplastic Mask". En Biomag 96, 32–34. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_8.
Texto completoGratzer, Alexander L., Alexander Schirrer, Sebastian Thormann y Stefan Jakubek. "Platoon Control Concepts". En Energy-Efficient and Semi-automated Truck Platooning, 105–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_8.
Texto completoGratzer, Alexander L., Alexander Schirrer, Sebastian Thormann y Stefan Jakubek. "Platoon Control Concepts". En Energy-Efficient and Semi-automated Truck Platooning, 105–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_8.
Texto completoChao, Pingfu, Wen Hua y Xiaofang Zhou. "An Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update". En Database Systems for Advanced Applications, 305–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_34.
Texto completoQi, Jianhui. "Development and Application of a Modularised Geometry Optimiser for Future Supercritical CO$$_2$$ Turbomachinery Optimisation". En Simulation Tools and Methods for Supercritical Carbon Dioxide Radial Inflow Turbine, 161–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2860-4_6.
Texto completoActas de conferencias sobre el tema "Co-Optimisation"
Razavi, R., C. Androne y H. Claussen. "Handover optimisation for co-channel WCDMA heterogeneous networks". En 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2012). IEEE, 2012. http://dx.doi.org/10.1109/pimrc.2012.6362913.
Texto completoSathuluri, Akhil, Anand Vazhapilli Sureshbabu y Markus Zimmermann. "Robust co-design of robots via cascaded optimisation". En 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023. http://dx.doi.org/10.1109/icra48891.2023.10161134.
Texto completoPoladian, L., S. Manos, N. A. Issa y W. E. Padden. "Biomimetic optimisation and co-design of microstructured optical fibres". En Proceedings of the First International Conference on ICOCN 2002. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776280_0027.
Texto completoDatta, Ayan, James D. Warnock, Ankur Shukla, Saurabh Gupta, Yiu H. Chan, Karthik Mohan y Charudhattan Nagarajan. "Design-Synthesis Co-Optimisation Using Skewed and Tapered Gates". En Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE). Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/9783981537079_0310.
Texto completoWankhede, Moresh J., Neil W. Bressloff y Andy J. Keane. "Combustor Design Optimisation Using Co-Kriging of Steady and Unsteady Turbulent Combustion". En ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46420.
Texto completoTurkington, Kieron, George A. Constantinides, Peter Y. K. Cheung y Konstantinos Masselos. "Co-optimisation of datapath and memory in outer loop pipelining". En 2008 International Conference on Field-Programmable Technology (FPT). IEEE, 2008. http://dx.doi.org/10.1109/fpt.2008.4762359.
Texto completoAsenov, Asen. "TCAD Based Design Technology Co-Optimisation in Advanced CMOS Technology". En 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT). IEEE, 2018. http://dx.doi.org/10.1109/icsict.2018.8564808.
Texto completoKaragiannopoulos, Stavros, Petros Aristidou y Gabriela Hug. "Co-optimisation of planning and operation for active distribution grids". En 2017 IEEE Manchester PowerTech. IEEE, 2017. http://dx.doi.org/10.1109/ptc.2017.7981112.
Texto completoVournas, C. D. "Power system stabiliser co-ordination using a parameter optimisation method". En International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940166.
Texto completoSabar, Nasser R., Ayad Turky y Andy Song. "Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation". En 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019. http://dx.doi.org/10.1109/cec.2019.8790022.
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