Gotowe bibliografie tematyczne / DECISION METAMODEL

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Gotowa bibliografia na temat „DECISION METAMODEL”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "DECISION METAMODEL"

Soeteman, Djøra I., Stephen C. Resch, Hawre Jalal, et al. "Developing and Validating Metamodels of a Microsimulation Model of Infant HIV Testing and Screening Strategies Used in a Decision Support Tool for Health Policy Makers." MDM Policy & Practice 5, no. 1 (2020): 238146832093289. http://dx.doi.org/10.1177/2381468320932894.

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Background. Metamodels can simplify complex health policy models and yield instantaneous results to inform policy decisions. We investigated the predictive validity of linear regression metamodels used to support a real-time decision-making tool that compares infant HIV testing/screening strategies. Methods. We developed linear regression metamodels of the Cost-Effectiveness of Preventing AIDS Complications Pediatric (CEPAC-P) microsimulation model used to predict life expectancy and lifetime HIV-related costs/person of two infant HIV testing/screening programs in South Africa. Metamodel perfo

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Palza, Edgardo. "FACILITATING MEASUREMENT INDICATORS IN SOFTWARE IMPROVEMENTS PROJECTS." Revista de investigación de Sistemas e Informática 2, no. 2 (2005): 7–15. http://dx.doi.org/10.15381/risi.v2i2.3126.

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This paper reports on the design and development of a Measurement Metamodel to facilitate the Implementation and Monitoring of Software Improvement initiatives. The Indicators provided for the Measurement Metamodel are building on a Data Warehouse environment. The Measurement Metamodel is designed based on the International Standard ISO 15939 – Software Measurement Process [1]. The Measurement Metamodel supports Practical Software Measurement (PSM) [2] approach and Capability Maturity Model Integrated (CMMI) [3] implementations. The Measurement Metamodel is based on the principle that Software

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Bracco, A., J. D. Neelin, H. Luo, J. C. McWilliams, and J. E. Meyerson. "High dimensional decision dilemmas in climate models." Geoscientific Model Development Discussions 6, no. 2 (2013): 2731–67. http://dx.doi.org/10.5194/gmdd-6-2731-2013.

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Abstract. An important source of uncertainty in climate models is linked to the calibration of model parameters. Interest in systematic and automated parameter optimization procedures stems from the desire to improve the model climatology and to quantify the average sensitivity associated with potential changes in the climate system. Neelin et al. (2010) used a quadratic metamodel to objectively calibrate an atmospheric circulation model (AGCM) around four adjustable parameters. The metamodel accurately estimates global spatial averages of common fields of climatic interest, from precipitation

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Bracco, A., J. D. Neelin, H. Luo, J. C. McWilliams, and J. E. Meyerson. "High dimensional decision dilemmas in climate models." Geoscientific Model Development 6, no. 5 (2013): 1673–87. http://dx.doi.org/10.5194/gmd-6-1673-2013.

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Abstract. An important source of uncertainty in climate models is linked to the calibration of model parameters. Interest in systematic and automated parameter optimization procedures stems from the desire to improve the model climatology and to quantify the average sensitivity associated with potential changes in the climate system. Building upon on the smoothness of the response of an atmospheric circulation model (AGCM) to changes of four adjustable parameters, Neelin et al. (2010) used a quadratic metamodel to objectively calibrate the AGCM. The metamodel accurately estimates global spatia

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Cravero, Ania, Dante Álvarez, Samuel Sepúlveda, Maria-Isabel Valdivieso, and Lilia Muñoz. "Meta4CBC: Metamodel for Competency-Based Curriculum Design in Higher Education." Applied Sciences 14, no. 22 (2024): 10110. http://dx.doi.org/10.3390/app142210110.

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Meta4CBC is proposed as an innovative metamodel for competency-based curriculum design in higher education, addressing the critical need to adapt curricula to contemporary challenges driven by globalization, technological advancement, and climate change. Inspired by the Business Motivation Model and Semantics of Business Vocabulary and Business Rules metamodels, Meta4CBC seeks to overcome the limitations of current CBCD models by providing a coherent structure that integrates curriculum components at supra, macro, meso, micro, and nano levels and establishes a common language that facilitates

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Gayathri, Rajakumaran, Shola Usha Rani, Lenka Čepová, Murugesan Rajesh, and Kanak Kalita. "A Comparative Analysis of Machine Learning Models in Prediction of Mortar Compressive Strength." Processes 10, no. 7 (2022): 1387. http://dx.doi.org/10.3390/pr10071387.

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Predicting the mechanical properties of cement-based mortars is essential in understanding the life and functioning of structures. Machine learning (ML) algorithms in this regard can be especially useful in prediction scenarios. In this paper, a comprehensive comparison of nine ML algorithms, i.e., linear regression (LR), random forest regression (RFR), support vector regression (SVR), AdaBoost regression (ABR), multi-layer perceptron (MLP), gradient boosting regression (GBR), decision tree regression (DT), hist gradient boosting regression (hGBR) and XGBoost regression (XGB), is carried out.

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Mahmud, Istiak, Md Mohsin Kabir, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che. "Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel." Diagnostics 13, no. 15 (2023): 2540. http://dx.doi.org/10.3390/diagnostics13152540.

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Accurate prediction of heart failure can help prevent life-threatening situations. Several factors contribute to the risk of heart failure, including underlying heart diseases such as coronary artery disease or heart attack, diabetes, hypertension, obesity, certain medications, and lifestyle habits such as smoking and excessive alcohol intake. Machine learning approaches to predict and detect heart disease hold significant potential for clinical utility but face several challenges in their development and implementation. This research proposes a machine learning metamodel for predicting a pati

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Suljic, Mirza, Edin Osmanbegovic, and Željko Dobrović. "Common Metamodel of Questionnaire Model and Decision Tree Model." Research in Applied Economics 10, no. 3 (2018): 106. http://dx.doi.org/10.5296/rae.v10i3.13540.

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The subject of this paper is metamodeling and its application in the field of scientific research. The main goal is to explore the possibilities of integration of two methods: questionnaires and decision trees. The questionnaire method was established as one of the methods for data collecting, while the decision tree method represents an alternative way of presenting and analyzing decision making situations. These two methods are not completely independent, but on the contrary, there is a strong natural bond between them. Therefore, the result reveals a common meta-model that over common conce

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Meidt, Gregory J., and Kenneth W. Bauer. "PCRSM: A decision support system for simulation metamodel construction." SIMULATION 59, no. 3 (1992): 183–91. http://dx.doi.org/10.1177/003754979205900307.

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Rojas, Luz Andrea Rodríguez, Juan Manuel Cueva Lovelle, Giovanny Mauricio Tarazona Bermúdez, Carlos Enrique Montenegro, Elena Giménez de Ory, and Rubén Arístides González Crespo. "Metamodel to support decision-making from open government data." Journal of Ambient Intelligence and Humanized Computing 9, no. 3 (2017): 553–63. http://dx.doi.org/10.1007/s12652-016-0443-7.

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Rozprawy doktorskie na temat "DECISION METAMODEL"

Penadés, Plà Vicent. "Life-cycle sustainability design of post-tensioned box-girder bridge obtained by metamodel-assisted optimization and decision-making under uncertainty." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/147480.

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[EN] Currently, there is a trend towards sustainability, especially in developed countries, where the concerns of society about environmental degradation and social problems have increased. Following this trend, the construction sector is one of the most influential sectors due to its high economic, environmental, and social impacts. At the same time, there is an increase in the demand for transport, which drives a need to develop and maintain the necessary infrastructure for this purpose. Taking all these factors into account, bridges become a key structure and therefore assessment of sustain

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Audoux, Yohann. "Développement d’une nouvelle méthode de réduction de modèle basée sur les hypersurfaces NURBS (Non-Uniform Rational B-Splines)." Thesis, Paris, ENSAM, 2019. http://www.theses.fr/2019ENAM0016/document.

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Malgré des décennies d’incontestables progrès dans le domaine des sciences informatiques, un certain nombre de problèmes restent difficiles à traiter en raison, soit de leur complexité numérique (problème d’optimisation, …), soit de contraintes spécifiques telle que la nécessité de traitement en temps réel (réalité virtuelle, augmentée, …). Dans ce contexte, il existe des méthodes de réduction de modèle qui permettent de réduire les temps de calcul de simulations multi-champs et/ou multi-échelles complexes. Le processus de réduction de modèle consiste à paramétrer un métamodèle qui requiert mo

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Choi, Hae-Jin. "A Robust Design Method for Model and Propagated Uncertainty." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7508.

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One of the important factors to be considered in designing an engineering system is uncertainty, which emanates from natural randomness, limited data, or limited knowledge of systems. In this study, a robust design methodology is established in order to design multifunctional materials, employing multi-time and length scale analyses. The Robust Concept Exploration Method with Error Margin Index (RCEM-EMI) is proposed for design incorporating non-deterministic system behavior. The Inductive Design Exploration Method (IDEM) is proposed to facilitate distributed, robust decision-making under prop

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Nixon, Janel Nicole. "A Systematic Process for Adaptive Concept Exploration." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13952.

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This thesis presents a method for streamlining the process of obtaining and interpreting quantitative data for the purpose of creating a low-fidelity modeling and simulation environment. By providing a more efficient means for obtaining such information, quantitative analyses become much more practical for decision-making in the very early stages of design, where traditionally, quants are viewed as too expensive and cumbersome for concept evaluation. The method developed to address this need uses a Systematic Process for Adaptive Concept Exploration (SPACE). In the SPACE method, design space

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Qian, Zhiguang. "Computer experiments [electronic resource] : design, modeling and integration /." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11480.

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The use of computer modeling is fast increasing in almost every scientific, engineering and business arena. This dissertation investigates some challenging issues in design, modeling and analysis of computer experiments, which will consist of four major parts. In the first part, a new approach is developed to combine data from approximate and detailed simulations to build a surrogate model based on some stochastic models. In the second part, we propose some Bayesian hierarchical Gaussian process models to integrate data from different types of experiments. The third part concerns the developm

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PRAKASH, DEEPIKA. "ELICTING INFORMATION REQUIREMENTS FOR DATA WAREHOUSES." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14844.

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Data Warehouse support in terms of Requirements Engineering models and techniques has been extensively provided for operational level of decision making. However, it is increasingly being recognized that there are other forms of decision making that exist in an organization. These are strategic in nature and ‘above’ operational decision making. This thesis addresses the issue of providing decision making support to both strategic and operational decision making in the same DW system. The solution starts by defining two broad categories of decisions for which decision support is needed, one fo

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Faustino, Bruno. "Evidence-based clinical decision-making : Conceptual and empirical foundations for an integrative psychological and neurobiological transtheoretical metamodel." Doctoral thesis, 2021. http://hdl.handle.net/10451/52489.

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The dialogue between psychotherapy and neuroscience is ongoing. Previous meta-analytic research suggests that 35% of psychotherapy outcome variance is not fully explained, whereas 30% is attributed to patient variables, 15% to therapeutic relationship, 10% to specific therapeutic techniques, 7% to therapist variables and 3% to other factors (Norcross & Wampold, 2019). Several authors emphasize the need for integrative, metatheoretical or transtheoretical approaches to enhance conceptual understanding of clinical phenomena, augmenting psychotherapy responsiveness to patients’ significant variab

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Książki na temat "DECISION METAMODEL"

P, Van Gigch John, ed. Decision making about decision making: Metamodels and metasystems. Abacus Press, 1987.

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Gigch, J. Van. Decision Making About Decision Making: Metamodels and Metasystems (Cybernetics and Systems). Taylor & Francis, 1987.

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Części książek na temat "DECISION METAMODEL"

Mihalache, Sabina-Cristiana. "Decision Rules: A Metamodel to Organize Information." In Lecture Notes in Electrical Engineering. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85437-3_28.

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Capilla, Rafael, Olaf Zimmermann, Uwe Zdun, Paris Avgeriou, and Jochen M. Küster. "An Enhanced Architectural Knowledge Metamodel Linking Architectural Design Decisions to other Artifacts in the Software Engineering Lifecycle." In Software Architecture. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23798-0_33.

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Douvenot Rémi, Lambert Marc, and Lesselier Dominique. "Metamodel as Input of an Optimization Algorithm for Solving an Inverse Eddy-Current Testing Problem." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-750-5-71.

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A method to characterize defects by processing eddy-current testing (ECT) signals is presented. It works in a short time for generic defects and work-pieces. To retrieve the dimensions of a defect, a metamodel-based Particle Swarm Optimization (PSO) is considered. Indeed, using a metamodel as an input of a stochastic method enables to significantly speed it up. The metamodel is generated using an adaptive database generation. Both tube and plate configurations, corresponding with either simulated or laboratory-controlled measured data are considered as illustration. Good accuracy and satisfact

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Norcia, Nicola, Samuele Utzeri, Luca Braidotti, Serena Bertagna, Vittorio Bucci, and Alberto Marino’. "Intact and Damage Stability Metamodels for the Concept Design of Naval Ships." In Progress in Marine Science and Technology. IOS Press, 2024. http://dx.doi.org/10.3233/pmst240011.

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Naval vessel technologies are in continuous development; in recent years, new and increasingly energy-intensive weapon and detection systems, energy storage systems and new configurations of destroyer’s power and propulsion systems introduced new challenges that shall be considered during the ship design since the conceptual stage. They have a very strong impact on the technical and war performances of the vessel during its life-cycle. In this sense, the adoption of modern multi-attribute decision-based methods is essential to successfully cope with a completely new ship prototype during the c

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Barbier, Guillaume, Véronique Cucchi, François Pinet, and David R. C. Hill. "CMF." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4217-1.ch006.

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This chapter shows how Model Driven Engineering (MDE) can contribute to the production of Crop models. The ITK firm works in agronomy; it designs digital models and Decision Support Systems for croppers. Common model development at ITK relies on a dual implementation. The first one in Matlab® is usually proposed by agronomists, but for industrial purposes, software engineers translate this model in Java. This leads to double implementation, maintenance, and heavy production costs. To deal with this efficiency problem, the authors use a MDE approach to produce a Crop Model Factory (CMF). For th

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"Digital Citizenship." In Metamodernism and Changing Literacy. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3534-9.ch009.

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In metamodern culture, digital citizens are required to make multitudinous decisions about consuming and producing information around the clock. Technology surrounds us at home, at work, in our communities, in our schools and libraries with increased expectations of instant global communication. In networked society, our responsibilities for digital citizenship have become essential. Metaliteracy is key to digital citizenship and critical to education as learners acquire, produce, and share knowledge in collaborative online communities and social media platforms. As both physical citizens of l

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Ruiz-López Tomás, Rodríguez-Domínguez Carlos, Noguera Manuel, Rodríguez María José, and Garrido José Luis. "Towards a Component-based Design of Adaptive, Context-sensitive Services for Ubiquitous Systems." In Ambient Intelligence and Smart Environments. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-286-8-57.

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Service design in the scope of Ubiquitous and Ambient Intelligence Systems is a complex task given the characteristics and requirements that must be usually addressed, and consequently the number of design decisions that need to be made. Existing methodologies provide guidance to this process from a general-purpose point of view, lacking support for specific features of this paradigm. In this paper, a novel approach to design dynamic, runtime adaptive services based on context information, called SCUBI, is proposed. It consists of a metamodel and a method to design services in terms of compone

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Denno Peter, Dickerson Charles, and Harding Jennifer. "Networked Engineering Notebooks for Smart Manufacturing." In Advances in Transdisciplinary Engineering. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-668-2-407.

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A goal of the industrial internet is to make information about manufacturing processes and resources available wherever decision making may be required. Agile use of information is a cornerstone of data analytics, but analytical methods more generally, including model-based investigations of manufacturability and operations do not so easily benefit from this data. Rather than relating anonymous patterns of data to outcomes, these latter analytical methods are distinguished as relying on conceptual or physics-based models of the real world. Such models require careful consideration of the fitne

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Gunn, Eldon, and Corinne MacDonald. "Neural Networks in Manufacturing Operations." In Artificial Neural Networks in Finance and Manufacturing. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-670-9.ch010.

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This chapter provides some examples from the literature of how feed-forward neural networks are used in three different contexts in manufacturing operations. Operational design problems involve the determination of design parameters, such as number of kanbans, in order to optimize the performance of the system. Operational-system decision support refers to the use of neural networks as decision-support mechanisms in predicting system performance in response to certain settings of system parameters and current environmental factors. Operational-system-control problems are distinguished from dec

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Streszczenia konferencji na temat "DECISION METAMODEL"

Ouaddi, Charaf, Lamya Benaddi, Adnane Souha, Lahbib Naimi, El mahi Bouziane, and Abdeslam Jakimi. "A Metamodel for a DSL to Design Decision Support Systems in Smart Tourism." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836366.

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"METAMODEL-BASED DECISION SUPPORT SYSTEM FOR DISASTER MANAGEMENT." In 5th International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003006504030412.

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SILVA FERNANDEZ, JESUS MARTIN. "Dashboard Metamodel for Decision Making in University Research." In 22nd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2024): “Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0.”. Latin American and Caribbean Consortium of Engineering Institutions, 2024. http://dx.doi.org/10.18687/laccei2024.1.1.1386.

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Hamzane, Ibrahim, and Badr EL Khalyly. "Towards an IT Governance of DevOps Metamodel." In 2021 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2021. http://dx.doi.org/10.1109/dasa53625.2021.9682334.

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Franke, Ulrik, Johan Ullberg, Teodor Sommestad, Robert Lagerstrom, and Pontus Johnson. "Decision support oriented Enterprise Architecture metamodel management using classification trees." In 2009 13th Enterprise Distributed Object Computing Conference Workshops, EDOCW. IEEE, 2009. http://dx.doi.org/10.1109/edocw.2009.5331975.

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"A Generic Workflow Metamodel to Support Resource-aware Decision Making." In 15th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004417002430250.

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Ramete, G. Mace, J. Lamothe, M. Lauras, and F. Benaben. "A road crisis management metamodel for an information decision support system." In 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering. IEEE, 2012. http://dx.doi.org/10.1109/dest.2012.6227934.

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Li, Mian. "An Improved Kriging Assisted Multi-Objective Genetic Algorithm." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28543.

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Although Genetic Algorithms (GAs) and Multi-Objective Genetic Algorithms (MOGAs) have been widely used in engineering design optimization, the important challenge still faced by researchers in using these methods is their high computational cost due to the population-based nature of these methods. For these problems it is important to devise MOGAs that can significantly reduce the number of simulation calls compared to a conventional MOGA. We present an improved kriging assisted MOGA, called Circled Kriging MOGA (CK-MOGA), in which kriging metamodels are embedded within the computation procedu

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Lafi, Lamine, Jamel Feki, and Slimane Hammoudi. "M²BenchMatch: An assisting tool for metamodel matching." In 2013 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2013. http://dx.doi.org/10.1109/codit.2013.6689586.

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Conner, Landon, Clarence L. Worrell, James P. Spring, and Jun Liao. "Machine Learned Metamodeling of a Computationally Intensive Accident Simulation Code." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-66619.

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Abstract The nuclear power industry is increasingly identifying applications of machine learning to reduce design, engineering, manufacturing, and operational costs. In some cases, applications have been deployed and are realizing value, in particular in the higher volume and data rich manufacturing areas of the nuclear industry. In this paper, we use machine learning to develop metamodel approximations of a computationally intense safety analysis code used to simulate a postulated loss-of-coolant accident (LOCA). The benefit of an accurate metamodel is that it runs at a fraction of the comput

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