Relevant bibliographies by topics / Multi parameter optimisation

Contents

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

Academic literature on the topic 'Multi parameter optimisation'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Multi parameter optimisation"

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Nikita, Rawat, Thakur Padmanabh, and Jadli Utkarsh. "Solar PV parameter estimation using multi-objective optimisation." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019): 1198–205. https://doi.org/10.11591/eei.v8i4.1312.

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The estimation of the electrical model parameters of solar PV, such as light-induced current, diode dark saturation current, thermal voltage, series resistance, and shunt resistance, is indispensable to predict the actual electrical performance of solar photovoltaic (PV) under changing environmental conditions. Therefore, this paper first considers the various methods of parameter estimation of solar PV to highlight their shortfalls. Thereafter, a new parameter estimation method, based on multi-objective optimisation, namely, Non-dominated Sorting Genetic Algorithm-II (NSGA-II), is proposed. F
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McDonnell, Michael D. T., Daniel Arnaldo, Etienne Pelletier, et al. "Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining." Journal of Intelligent Manufacturing 32, no. 5 (2021): 1471–83. http://dx.doi.org/10.1007/s10845-020-01717-4.

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AbstractInteractions between light and matter during short-pulse laser materials processing are highly nonlinear, and hence acutely sensitive to laser parameters such as the pulse energy, repetition rate, and number of pulses used. Due to this complexity, simulation approaches based on calculation of the underlying physical principles can often only provide a qualitative understanding of the inter-relationships between these parameters. An alternative approach such as parameter optimisation, often requires a systematic and hence time-consuming experimental exploration over the available parame
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Mala-Jetmarova, Helena, Andrew Barton, and Adil Bagirov. "Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems." Journal of Hydroinformatics 17, no. 6 (2015): 891–916. http://dx.doi.org/10.2166/hydro.2015.062.

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This paper presents an extensive analysis of the sensitivity of multi-objective algorithm parameters and objective function scaling tested on a large number of parameter setting combinations for a water distribution system optimisation problem. The optimisation model comprises two operational objectives minimised concurrently, the pump energy costs and deviations of constituent concentrations as a water quality measure. This optimisation model is applied to a regional non-drinking water distribution system, and solved using the optimisation software GANetXL incorporating the NSGA-II linked wit
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Krauße, T., J. Cullmann, P. Saile, and G. H. Schmitz. "Robust multi-objective calibration strategies – possibilities for improving flood forecasting." Hydrology and Earth System Sciences 16, no. 10 (2012): 3579–606. http://dx.doi.org/10.5194/hess-16-3579-2012.

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Abstract. Process-oriented rainfall-runoff models are designed to approximate the complex hydrologic processes within a specific catchment and in particular to simulate the discharge at the catchment outlet. Most of these models exhibit a high degree of complexity and require the determination of various parameters by calibration. Recently, automatic calibration methods became popular in order to identify parameter vectors with high corresponding model performance. The model performance is often assessed by a purpose-oriented objective function. Practical experience suggests that in many situa
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Krauße, T., J. Cullmann, P. Saile, and G. H. Schmitz. "Robust multi-objective calibration strategies – chances for improving flood forecasting." Hydrology and Earth System Sciences Discussions 8, no. 2 (2011): 3693–741. http://dx.doi.org/10.5194/hessd-8-3693-2011.

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Abstract. Process-oriented rainfall-runoff models are designed to approximate the complex hydrologic processes within a specific catchment and in particular to simulate the discharge at the catchment outlet. Most of these models exhibit a high degree of complexity and require the determination of various parameters by calibration. Recently automatic calibration methods became popular in order to identify parameter vectors with high corresponding model performance. The model performance is often assessed by a purpose-oriented objective function. Practical experience suggests that in many situat
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Seibert, J. "Multi-criteria calibration of a conceptual runoff model using a genetic algorithm." Hydrology and Earth System Sciences 4, no. 2 (2000): 215–24. http://dx.doi.org/10.5194/hess-4-215-2000.

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Abstract. Abstract: Calibration of a model against more than one output variable is important for reliable simulations of internal processes. In this study, a genetic algorithm combined with local optimisation was proposed for automatic single- and multi-criteria calibration of the HBV model, a conceptual runoff model. The model and the optimisation algorithm were applied in two catchments with different geology where, in addition to observed runoff, time series of groundwater level data were available. For a theoretical, error-free test case with synthetic data, the optimisation algorithm was
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Słowik, Agnieszka, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, and Lawrence C. Paulson. "Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (2020): 13919–20. http://dx.doi.org/10.1609/aaai.v34i10.7232.

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Modern theorem provers utilise a wide array of heuristics to control the search space explosion, thereby requiring optimisation of a large set of parameters. An exhaustive search in this multi-dimensional parameter space is intractable in most cases, yet the performance of the provers is highly dependent on the parameter assignment. In this work, we introduce a principled probabilistic framework for heuristic optimisation in theorem provers. We present results using a heuristic for premise selection and the Archive of Formal Proofs (AFP) as a case study.
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He, Yicheng, Kai Yang, Xiaoqing Wang, Haisong Huang, and Jiadui Chen. "Quality Prediction and Parameter Optimisation of Resistance Spot Welding Using Machine Learning." Applied Sciences 12, no. 19 (2022): 9625. http://dx.doi.org/10.3390/app12199625.

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In a small sample welding test space, and to achieve online prediction and self-optimisation of process parameters for the resistance welding joint quality of power lithium battery packs, this paper proposes a welding quality prediction model. The model combines a chaos game optimisation algorithm (CGO) with the multi-output least-squares support vector regression machine (MLSSVR), and a multi-objective process parameter optimisation method based on a particle swarm algorithm. First, the MLSSVR model was constructed, and a hyperparameter optimisation strategy based on CGO was designed. Next, t
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Dekker, R., and R. P. Plasmeijer. "Multi-parameter maintenance optimisation via the marginal cost approach." Journal of the Operational Research Society 52, no. 2 (2001): 188–97. http://dx.doi.org/10.1057/palgrave.jors.2601072.

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Liu, J. S., and L. Hollaway. "Multi-Factor Optimisation of Large Reflector Antenna Structures." International Journal of Space Structures 11, no. 3 (1996): 307–20. http://dx.doi.org/10.1177/026635119601100303.

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A novel multi-parameter overall situation optimisation method has been developed for use on antenna reflector structures. Various structural performances arc included as objective functions. The design variables involve geometric and size variables of structures. Various working environments and loading cases which affect antenna performances could be combined in the optimisation mathematical model. An important aspect to the work is the establishment of evaluation criteria to optimise the design of a system. Such an optimisation procedure would satisfy extremely high design requirements. An 8
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Dissertations / Theses on the topic "Multi parameter optimisation"

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Bonis, Ioannis. "Optimisation and control methodologies for large-scale and multi-scale systems." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/optimisation-and-control-methodologies-for-largescale-and-multiscale-systems(6c4a4f13-ebae-4d9d-95b7-cca754968d47).html.

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Distributed parameter systems (DPS) comprise an important class of engineering systems ranging from "traditional" such as tubular reactors, to cutting edge processes such as nano-scale coatings. DPS have been studied extensively and significant advances have been noted, enabling their accurate simulation. To this end a variety of tools have been developed. However, extending these advances for systems design is not a trivial task . Rigorous design and operation policies entail systematic procedures for optimisation and control. These tasks are "upper-level" and utilize existing models and simu
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Fan, Qi. "Multi-Objective Optimization for Data Analytics in the Cloud." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX069.

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Le traitement des requêtes Big Data est devenu de plus en plus important, ce qui a conduit au développement et au déploiement dans le cloud de nombreux systèmes. Cependant, le réglage automatique des nombreux paramètres de ces systèmes Big Data introduit une complexité croissante pour répondre aux objectifs de performance et aux contraintes budgétaires des utilisateurs. La détermination des configurations optimales est un défi en raison de la nécessité de prendre en compte : 1) plusieurs objectifs de performances et contraintes budgétaires concurrents, tels qu'une faible latence et un faible c
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Simms, Christine. "Process optimisation using design experiments and some of the principles of Taguchi : resolving multi-criteria conflicts within parameter design in static and dynamic processes." Thesis, University of Ulster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247675.

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Bert, Juliette. "Contribution à l'étude de la valorisation des rejets thermiques : étude et optimisation de moteurs Stirling." Phd thesis, Université de Bourgogne, 2012. http://tel.archives-ouvertes.fr/tel-00862454.

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Plusieurs machines actuellement utilisées, moteurs à combustion interne en automobile ou centrales thermiques dans l'énergie, rejettent de grandes quantités de chaleur. Généralement cette chaleur est dissipée dans l'atmosphère et son énergie perdue. Nous nous sommes donc intéressés aux moteurs à apport de chaleur externe dont l'énergie primaire est de l'énergie thermique, et plus particulièrement aux moteurs Stirling. L'une de ses principales caractéristiques est d'utiliser de la chaleur produite extérieurement comme source d'énergie. Ceci lui permet d'être multi-carburant et même d'utiliser d
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Brka, Adel. "Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1756.

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Wind and solar irradiance are promising renewable alternatives to fossil fuels due to their availability and topological advantages for local power generation. However, their intermittent and unpredictable nature limits their integration into energy markets. Fortunately, these disadvantages can be partially overcome by using them in combination with energy storage and back-up units. However, the increased complexity of such systems relative to single energy systems makes an optimal sizing method and appropriate Power Management Strategy (PMS) research priorities. This thesis contributes to the
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Hu, Wei. "Identification de paramètre basée sur l'optimisation de l'intelligence artificielle et le contrôle de suivi distribué des systèmes multi-agents d'ordre fractionnaire." Thesis, Ecole centrale de Lille, 2019. http://www.theses.fr/2019ECLI0008/document.

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Cette thèse traite de l'identification des paramètres du point de vue de l'optimisation et du contrôle de suivi distribué des systèmes multi-agents d'ordre fractionnaire (FOMASs) en tenant compte des retards, des perturbations externes, de la non-linéarité inhérente, des incertitudes des paramètres et de l'hétérogénéité dans le cadre d'une topologie de communication fixe non dirigée / dirigée. Plusieurs contrôleurs efficaces sont conçus pour réaliser avec succès le contrôle de suivi distribué des FOMASs dans différentes conditions. Plusieurs types d'algorithmes d'optimisation de l'intelligence
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Поскачей, Д. В. "Інформаційна технологія самонавчання для посадки літального апарату". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/79555.

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Розроблено модель, алгоритм та програмна реалізація інформаційної технології машинного навчання для ефективної посадки безпілотного літального апарату. Розроблений алгоритм реалізовано на мові python.
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Lignet, Floriane. "Approches mathématiques multi-niveaux pour l'étude de la croissance des tumeurs : Application à la morphogenèse du cancer du sein et ciblage thérapeutique de l'angiogenèse du cancer du côlon." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00844807.

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Les cancers sont l'une des causes majeures de mortalité dans le monde. Les mécanismes en jeu dans la croissance tumorale sont qualitativement connus, mais on se sait pas à l'heure actuelle prédire précisément quel sera le développement d'une tumeur donnée, ni estimer de façon certaine le protocole thérapeutique optimal pour chaque patient. Il est entendu que la modélisation mathématique pourrait apporter des éléments de réponse à ces questions. Durant cette thèse on s'est alors intéressé à la construction de formalismes mathématiques pour décrire la croissance tumorale et l'action de traitemen
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Song, Yingying. "Amélioration de la résolution spatiale d’une image hyperspectrale par déconvolution et séparation-déconvolution conjointes." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0207/document.

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Une image hyperspectrale est un cube de données 3D dont chaque pixel fournit des informations spectrales locales sur un grand nombre de bandes contiguës sur une scène d'intérêt. Les images observées peuvent subir une dégradation due à l'instrument de mesure, avec pour conséquence l'apparition d'un flou sur les images qui se modélise par une opération de convolution. La déconvolution d'image hyperspectrale (HID) consiste à enlever le flou pour améliorer au mieux la résolution spatiale des images. Un critère de HID du type Tikhonov avec contrainte de non-négativité est proposé dans la thèse de S
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Kervazo, Christophe. "Optimization framework for large-scale sparse blind source separation." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS354/document.

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Lors des dernières décennies, la Séparation Aveugle de Sources (BSS) est devenue un outil de premier plan pour le traitement de données multi-valuées. L’objectif de ce doctorat est cependant d’étudier les cas grande échelle, pour lesquels la plupart des algorithmes classiques obtiennent des performances dégradées. Ce document s’articule en quatre parties, traitant chacune un aspect du problème: i) l’introduction d’algorithmes robustes de BSS parcimonieuse ne nécessitant qu’un seul lancement (malgré un choix d’hyper-paramètres délicat) et fortement étayés mathématiquement; ii) la proposition d’
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Books on the topic "Multi parameter optimisation"

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Simms, Christine J. Process optimisation using design of experiments and some of the principles of Taguchi: Resolving multi-criteria conflicts within parameter design in static and dynamic processes. The author], 2002.

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Book chapters on the topic "Multi parameter optimisation"

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Bali, Kavitesh K., and Rohitash Chandra. "Scaling up Multi-island Competitive Cooperative Coevolution for Real Parameter Global Optimisation." In AI 2015: Advances in Artificial Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26350-2_4.

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Carolus, Timothy G., and Andries P. Engelbrecht. "Multi-guide Particle Swarm Optimisation Control Parameter Importance in High Dimensional Spaces." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78743-1_17.

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Panneerselvam, Vivekanandan, and Faiz Mohd Turan. "Multi Response Optimisation of Injection Moulding Process Parameter Using Taguchi and Desirability Function." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9539-0_26.

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Zeng, Tongyan, Essam F. Abo-Serie, Manus Henry, and James Jewkes. "Thermal Optimisation Model for Cooling Channel Design Using the Adjoint Method in 3D Printed Aluminium Die-Casting Tools." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_31.

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AbstractIn the present study, the adjoint method is introduced to the optimisation of the corner cooling element in two baseline cooling designs for a mould cavity, as examples of the Aluminium metal die-casting process. First, a steady thermal model simulating the Aluminium die-casting process is introduced for the two-corner cooling design scenario. This steady model serves as the first iteration of the optimised model using the adjoint method. A dual-parameter objective function targets the interfacial temperature standard deviation and pressure drop across the internal cooling region. For
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Martínez, Héctor, Francisco D. Igual, Rafael Rodríguez-Sánchez, Sandra Catalán, Adrián Castelló, and Enrique S. Quintana-Ortí. "Inference with Transformer Encoders on ARM and RISC-V Multicore Processors." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69766-1_26.

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AbstractWe delve into the performance of transformer encoder inference on low-power multi-core processors from two perspectives: First, we conduct a detailed profile of the inference process for two members of the BERT family on a modern multi-core processor, identifying the main bottlenecks and opportunities for improvement. Second, we propose a number of accumulative optimisations for their primary building blocks. For that, we elaborate our own implementation of the general matrix multiplication (), which dynamically tunes several key parameters yielding relevant performance gains for trans
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Baniasadi, Mehri, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, and Jorge Gonçalves. "Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36932-3_62.

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Mo, Fan, Jack C. Chaplin, David Sanderson, et al. "A Framework for Manufacturing System Reconfiguration Based on Artificial Intelligence and Digital Twin." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_35.

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AbstractThe application of digital twins and artificial intelligence to manufacturing has shown potential in improving system resilience, responsiveness, and productivity. Traditional digital twin approaches are generally applied to single, static systems to enhance a specific process. This paper proposes a framework that applies digital twins and artificial intelligence to manufacturing system reconfiguration, i.e., the layout, process parameters, and operation time of multiple assets, to enable system decision making based on varying demands from the customer or market. A digital twin enviro
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Bal, Kalinga Simant, Amal Madhavan Nair, Dipanjan Dey, Anitesh Kumar Singh, and Asimava Roy Choudhury. "Multi-objective Optimisation of Electro Jet Drilling Process Parameters for Machining of Crater in High-Speed Steel Using Grey Relational Analysis." In Lecture Notes on Multidisciplinary Industrial Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9471-4_31.

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Tallapragada, V. V. Satyanarayana, M. Venkatanaresh, N. Gireesh, and M. Naresh. "Optimization of Multi-Objective Emperor Penguin Handovers Over Dissimilar Networks." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7000-8.ch013.

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Media independent handover (IEEE 802.21 MIH) services are an area of particular focus for IEEE. The primary objective of IEEE 802.21 MIH is to streamline the handover procedure, resulting in a more reliable and less time-consuming handover service. There are two distinct kinds of handoffs, called horizontal and vertical, respectively. Among these, the performance of vertical handover (VH) can be improved through parameter optimization. In order to achieve the best possible outcome and reduce the rate of handover failure, careful parameter selection is required. Despite the fact that many optio
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Al-Abri, F., E. A. Edirisinghe, and C. Grecos. "Parameter Based Multi-Objective Optimization of Video CODECs." In Applied Signal and Image Processing. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-477-6.ch017.

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This chapter presents a generalised framework for multi-objective optimisation of video CODECs for use in off-line, on-demand applications. In particular, an optimization scheme is proposed to determine the optimum coding parameters for a H.264 AVC video codec in a memory and bandwidth constrained environment, which minimises codec complexity and video distortion. The encoding/decoding parameters that have a significant impact on the performance of the codec are initially obtained through experimental analysis. A mathematical formulation by means of regression is subsequently used to associate
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Conference papers on the topic "Multi parameter optimisation"

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Dolat, Meshkat, Andrew D. Wright, Mohammadamin Zarei, Melis S. Duyar, and Michael Short. "Kinetic Modelling and Optimisation of Co2 Capture and Utilisation to Methane on Dual Function Material." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.187825.

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Dual function materials (DFMs) integrate CO2 capture and conversion, offering a streamlined approach to Power-to-Gas (PtG) processes. This study develops a cyclic steady-state model for the DFM-based methanation of CO2 using the finite difference method. The model captures the adsorption, purge, and methanation stages and incorporates a semi-implicit numerical scheme for stability and accuracy. Bayesian optimisation is used to explore operational and design parameters to maximise methane productivity, CO2 conversion, and product purity. Multi-objective optimisation reveals key trade-offs among
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Zarei, Mohammadamin, Meshkat Dolat, Rohit Murali, et al. "Real-time dynamic optimisation for sustainable biogas production through anaerobic co-digestion with hybrid models." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.130144.

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Renewable energy and energy efficiency are increasingly recognised as crucial for creating new economic opportunities and mitigating environmental impacts. Anaerobic digestion (AD) transforms organic materials into a clean, renewable energy source. Co-digestion of various organic wastes and energy crops addresses the disadvantages of single-substrate digestion, increasing production flexibility yet adding process complexity and sensitivity. This study employs a two-pronged approach to optimise biogas production while considering global warming potential: a nonlinear programming (NLP) model for
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Martens, Stefan, Jurgen Wilde, Elena Zukowski, Friedemann Volklein, and Markus Ledermann. "Optimisation of wirebond interconnects by automated parameter variation." In Multi-Physics simulation and Experiments in Microelectronics. IEEE, 2008. http://dx.doi.org/10.1109/esime.2008.4525044.

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Daniels, G. P., D. R. Bull, and J. F. Burn. "Parameter optimisation for vision guided terrestrial locomotion: Multi-frame." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7350950.

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Elrachid, Bendaoud, Radjeai Hammoud, Boutalbi Oussama, and Harbadji Meriem. "Parameter Tuning of Power Systems Stabilizer Using Stochastic Fractal Search Optimisation." In 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2022. http://dx.doi.org/10.1109/ssd54932.2022.9955763.

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Budhi, Gregorius Satia, Raymond Chiong, Zhongyi Hu, Ilung Pranata, and Sandeep Dhakal. "Multi-PSO based Classifier Selection and Parameter Optimisation for Sentiment Polarity Prediction." In 2018 IEEE Conference on Big Data and Analytics (ICBDA). IEEE, 2018. http://dx.doi.org/10.1109/icbdaa.2018.8629593.

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Barri, Dario, Federico Soresini, Massimiliano Gobbi, and Gianpiero Mastinu. "Comparison of Multi-Objective Optimisation Methods for the Design of Electric Motors." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89930.

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Abstract The paper deals with a comparison between different multi-objective optimisation algorithms, namely Adaptive Pareto Algorithm (APA), Genetic Algorithm (GA) and Parameter Space Investigation (PSI). The comparison has been completed by solving a test problem (ZDT1) widely considered in the literature and a real engineering problem concerning the optimisation of traction electric motors. The practical problem is addressed with the help of a specific custom-made tool for the optimisation of electric motors, where Motor-CAD™ is used as multi-physics simulation software. Several metrics hav
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Zhdanov, Ivan, Stephan Staudacher, and Sergey Falaleev. "An Advanced Usage of Meanline Loss Systems for Axial Turbine Design Optimisation." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94323.

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A comprehensive axial turbine framework model has been developed at the Institute of Aircraft Propulsion Systems, University of Stuttgart. It discovers the principles of a meanline optimisation and shows its advantages for quick prediction of optimal meanline parameters considering manufacturing, mechanical and aerodynamic requirements. The framework model can incorporate different loss correlations and compare their results for one and the same multi-dimensional design parameter space. A special attention is paid to the influence of loss correlations on optimal values of meanline parameters.
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Gra¨sel, J., J. Demolis, H. Mohr, and H. P. Schiffer. "Multi-Objective Design Optimisation of a Diffuser-Ejector Exhaust Duct for Helicopter Engines." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22588.

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The paper demonstrates the successful application of an optimisation methodology for the design of a diffuser-ejector exhaust duct. Maximising simultaneously pressure recovery and the entrainment ratio are diverging objectives which could hardly be achieved by a conventional manual trial-and-error approach relying on the designer’s experience. This multi-objective design problem has been solved for the axis-symmetric exhaust duct with a given characteristic length, inlet section and minimal standoff distance by coupling a parametric method with 2D CFD analysis. Open cubic B-splines have been e
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Verros, G., G. Georgiou, and S. Natsiavas. "Multi-Objective Optimisation of Quarter-Car Models With Linear or Piecewise Linear Suspension Dampers." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85232.

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A systematic methodology is applied leading to optimum selection of the suspension damping and stiffness parameters for two degree of freedom quarter-car models, subjected to road excitation. First, models involving passive damping with constant or dual rate characteristics are considered. Then, models where the damping coefficient of the suspension is selected so that the resulting system approximates the performance of an active suspension system with sky-hook damping are also examined. For all these models, appropriate methodologies are first employed for locating the motions of the vehicle
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Reports on the topic "Multi parameter optimisation"

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POLLACK, Katharina, Florian PAUSCH, and Piotr MAJDAK. Parametric pinna model for a realistic representation of listener-specific pinna geometry. Verlag der Österreichischen Akademie der Wissenschaften, 2025. https://doi.org/10.1553/ica_2022_parametric-model.

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Personalised binaural audio requires individual head-related transfer functions (HRTFs). Nowadays, it is feasible to compute HRTFs numerically from meshes of a listener’s anatomy. These meshes require geometric details of the pinna which are difficult to capture and often corrupted by noise and outliers. The alignment of a highresolution template geometry to the captured listener geometry seems to be a promising approach to deal with these corruptions. However, such an alignment represents a multi-dimensional optimisation problem. To tackle this, we describe a parametric pinna model which redu
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