Academic literature on the topic 'Co-Optimisation'
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Journal articles on the topic "Co-Optimisation"
Guan, X. "Supersonic wing-body wave drag co-ordinated optimisation based on FCE methodology." Aeronautical Journal 118, no. 1209 (November 2014): 1359–72. http://dx.doi.org/10.1017/s0001924000010010.
Full textKumar, K. C. Hari, I. Ansara, P. Wollants, and L. Delaey. "Thermodynamic optimisation of the Co–Nb system." Journal of Alloys and Compounds 267, no. 1-2 (March 1998): 105–12. http://dx.doi.org/10.1016/s0925-8388(97)00465-9.
Full textYang, Liunan, Massimiliano Gobbi, Gianpiero Mastinu, Giorgio Previati, and Federico Ballo. "Multi-Disciplinary Optimisation of Road Vehicle Chassis Subsystems." Energies 15, no. 6 (March 16, 2022): 2172. http://dx.doi.org/10.3390/en15062172.
Full textWejnerowska, Grażyna, and Anna Ciaciuch. "Optimisation of oil extraction from quinoa seeds with supercritical carbon dioxide with co-solvents." Czech Journal of Food Sciences 36, No. 1 (February 28, 2018): 81–87. http://dx.doi.org/10.17221/122/2017-cjfs.
Full textKim, H. J., J. Shin, S. Kang, S. J. Kim, and M. J. Tahk. "Ionic electroactive polymer control using co-evolutionary optimisation." Electronics Letters 43, no. 16 (2007): 859. http://dx.doi.org/10.1049/el:20071315.
Full textKianifar, Mohammed Reza, and 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, no. 1 (July 2019): 2873–82. http://dx.doi.org/10.1017/dsi.2019.294.
Full textAzizul, Nurul Husna, Hermizi Hapidin, Hasmah Abdullah, Maryam Azlan, Ahmad Azlina, and Ima Nirwana Soelaiman. "Optimisation of Human Osteoblasts and Osteoclasts Co-Culture Model." Asian Journal of Medicine and Biomedicine 6, S1 (November 9, 2022): 78–80. http://dx.doi.org/10.37231/ajmb.2022.6.s1.535.
Full textGao, Yichen, Ming Zhao, and Xiaoyu Song. "Parameter co-evolution mechanism of particle swarm optimisation algorithm." International Journal of Simulation and Process Modelling 15, no. 3 (2020): 255. http://dx.doi.org/10.1504/ijspm.2020.10029339.
Full textZhao, Ming, Xiaoyu Song, and Yichen Gao. "Parameter co-evolution mechanism of particle swarm optimisation algorithm." International Journal of Simulation and Process Modelling 15, no. 3 (2020): 255. http://dx.doi.org/10.1504/ijspm.2020.107327.
Full textRashid, A. N. M. Bazlur, and Tonmoy Choudhury. "Cooperative Co-Evolution and MapReduce." International Journal of Information Technology Project Management 12, no. 1 (January 2021): 29–62. http://dx.doi.org/10.4018/ijitpm.2021010102.
Full textDissertations / Theses on the topic "Co-Optimisation"
Corner, Philip Anthony. "Pharmaceutical co-crystals : screening optimisation, utility and performance." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12427/.
Full textScholey, D. W. "Optimisation of distillery co-products for poultry feed." Thesis, Nottingham Trent University, 2012. http://irep.ntu.ac.uk/id/eprint/144/.
Full textCamino, Jean-Thomas. "Co-optimisation charge utile satellite et système télécom." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30401.
Full textThe 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.
Full textNew 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.
Full textObhielo, 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.
Full textBarrett, 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.
Full textNwosu, 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.
Full textGKIKAKIS, 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.
Full textRamirez, 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/.
Full textBooks on the topic "Co-Optimisation"
C, Vital João, and Franca José, eds. Systematic design for optimisation of pipelined ADCs. Boston: Kluwer Academic Publishers, 2001.
Find full textSchiemann, Anja, Clara Remke, and Katharina Büchler, eds. HEADS, KURS & Co. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845297866.
Full textGoes, João, João C. Vital, and José E. Franca. Systematic Design for Optimisation of Pipelined ADCs. Springer London, Limited, 2006.
Find full textGoes, João, João C. Vital, and José E. Franca. Systematic Design for Optimisation of Pipelined ADCs. Springer, 2010.
Find full textGoes, João, João C. Vital, and José E. Franca. Systematic Design for Optimisation of Pipelined ADCs (The Springer International Series in Engineering and Computer Science). Springer, 2001.
Find full textBook chapters on the topic "Co-Optimisation"
Maneeratana, Kuntinee, Kittipong Boonlong, and Nachol Chaiyaratana. "Multi-objective Optimisation by Co-operative Co-evolution." In 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.
Full textNgo, Trung Dung. "Distributed Co-optimisation of Throughput for Mobile Sensor Networks." In Springer Tracts in Advanced Robotics, 419–32. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55879-8_29.
Full textNikfarjam, Adel, Aneta Neumann, Jakob Bossek, and Frank Neumann. "Co-evolutionary Diversity Optimisation for the Traveling Thief Problem." In Lecture Notes in Computer Science, 237–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14714-2_17.
Full textPurshouse, Robin C., Cezar Jalbă, and Peter J. Fleming. "Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation." In 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.
Full textQi, Jianhui. "Multi-objective Optimisation for Supercritical CO$$_2$$ Radial Inflow Turbine Stator." In 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.
Full textDammers, J., G. R. Barnes, F. Weise, J. Gross, B. S. Clewett, A. A. Ioannides, and H. W. Müller-Gärtner. "Optimisation of Co-Registration Procedures for Biomagnetic Measurements Using a Thermoplastic Mask." In Biomag 96, 32–34. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_8.
Full textGratzer, Alexander L., Alexander Schirrer, Sebastian Thormann, and Stefan Jakubek. "Platoon Control Concepts." In 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.
Full textGratzer, Alexander L., Alexander Schirrer, Sebastian Thormann, and Stefan Jakubek. "Platoon Control Concepts." In 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.
Full textChao, Pingfu, Wen Hua, and Xiaofang Zhou. "An Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update." In Database Systems for Advanced Applications, 305–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_34.
Full textQi, Jianhui. "Development and Application of a Modularised Geometry Optimiser for Future Supercritical CO$$_2$$ Turbomachinery Optimisation." In 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.
Full textConference papers on the topic "Co-Optimisation"
Razavi, R., C. Androne, and H. Claussen. "Handover optimisation for co-channel WCDMA heterogeneous networks." In 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.
Full textSathuluri, Akhil, Anand Vazhapilli Sureshbabu, and Markus Zimmermann. "Robust co-design of robots via cascaded optimisation." In 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023. http://dx.doi.org/10.1109/icra48891.2023.10161134.
Full textPoladian, L., S. Manos, N. A. Issa, and W. E. Padden. "Biomimetic optimisation and co-design of microstructured optical fibres." In Proceedings of the First International Conference on ICOCN 2002. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776280_0027.
Full textDatta, Ayan, James D. Warnock, Ankur Shukla, Saurabh Gupta, Yiu H. Chan, Karthik Mohan, and Charudhattan Nagarajan. "Design-Synthesis Co-Optimisation Using Skewed and Tapered Gates." In 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.
Full textWankhede, Moresh J., Neil W. Bressloff, and Andy J. Keane. "Combustor Design Optimisation Using Co-Kriging of Steady and Unsteady Turbulent Combustion." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46420.
Full textTurkington, Kieron, George A. Constantinides, Peter Y. K. Cheung, and Konstantinos Masselos. "Co-optimisation of datapath and memory in outer loop pipelining." In 2008 International Conference on Field-Programmable Technology (FPT). IEEE, 2008. http://dx.doi.org/10.1109/fpt.2008.4762359.
Full textAsenov, Asen. "TCAD Based Design Technology Co-Optimisation in Advanced CMOS Technology." In 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT). IEEE, 2018. http://dx.doi.org/10.1109/icsict.2018.8564808.
Full textKaragiannopoulos, Stavros, Petros Aristidou, and Gabriela Hug. "Co-optimisation of planning and operation for active distribution grids." In 2017 IEEE Manchester PowerTech. IEEE, 2017. http://dx.doi.org/10.1109/ptc.2017.7981112.
Full textVournas, C. D. "Power system stabiliser co-ordination using a parameter optimisation method." In International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940166.
Full textSabar, Nasser R., Ayad Turky, and Andy Song. "Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation." In 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019. http://dx.doi.org/10.1109/cec.2019.8790022.
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