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Relevant bibliographies by topics / Multicriterial optimization

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Academic literature on the topic 'Multicriterial optimization'

Author: Grafiati

Published: 30 May 2022

Last updated: 28 July 2025

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Journal articles on the topic "Multicriterial optimization"

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Podinovski, V. V. "Potential optimality in multicriterial optimization." Computational Mathematics and Mathematical Physics 54, no. 3 (2014): 429–38. http://dx.doi.org/10.1134/s0965542514030154.

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Vuleta, Jovo. "Visekriterijumska optimizacija izbora izvodjaca projekta." Ekonomski anali 44, no. 157 (2003): 7–40. http://dx.doi.org/10.2298/eka0357007v.

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The selection of the best (multicriterial optimal) contractors for project realization is analised in this paper. This problem is one of the most important problems that occurs during the realization of every project, especially the complex one. First we point the problem importance and past experiences and results in its solving. As a conclusion, we state that the problem of selection project realization contractors has been solved by discovering any possible solution, not necessary the optimal one. We have tried to solve one real problem using the model of integer multicriterial optimization

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Zypkin, Ya Z., and A. S. Krasnenker. "Man Machine Methods for Multicriterial Optimization." IFAC Proceedings Volumes 21, no. 19 (1988): 271–72. http://dx.doi.org/10.1016/s1474-6670(17)54504-8.

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Bogó-Tóth, Zs, and Z. Lakner. "Multicriterial optimization of liquid food packaging systems." Acta Alimentaria 43, Supplement 1 (2014): 29–35. http://dx.doi.org/10.1556/aalim.43.2014.suppl.5.

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Vladimirova, L. V. "Multicriterial approach to beam dynamics optimization problem." Journal of Physics: Conference Series 747 (September 2016): 012070. http://dx.doi.org/10.1088/1742-6596/747/1/012070.

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Bucur, Amelia. "Aspects Of Multicriterial Mathematical Modeling And Of The Fuzzy Formalism For The Hierarchization Of Study Programs Based On Several Quality Characteristics." ACTA Universitatis Cibiniensis 67, no. 1 (2015): 1–6. http://dx.doi.org/10.1515/aucts-2015-0055.

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Abstract The aim of this paper is to present aspects of mathematical modeling for the hierarchization of study programs from universities, based on several quality characteristics. The tools used pertain to multicriterial optimization, to the different methods of assessing importance coefficients, to the utility theory, the fuzzy formalism, and to the fuzzy simple additive weighting method. The conclusion is that multicriterial decision-making methods can be efficiently used in assessing the quality of study programs, noting that, just like other methods from the decision theory, the multicrit

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Qiang, Guo, Semenets Valerii, Bezruk Valeriy, Kaliuzhnyi Mykola, and Zheng Yu. "METHODS FOR MULTICRITERIAL SELECTION OF OPTIMAL ROUTES IN COMMUNICATION NETWORKS." Eastern-European Journal of Enterprise Technologies 4, no. 4 (100) (2019): 52–57. https://doi.org/10.15587/1729-4061.2019.176783.

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Traditionally, the problems of routing in communication networks are solved based on the scalar approach, which takes into consideration only one quality indicator. However, information transmission in communication networks is characterized by a totality of quality indicators. That is why to obtain the optimal solution to the problems of routing in a communication network, it is necessary to use the multicriterial approach. This determines the relevance of solving the problem of routing in communication networks considering the totality of quality indicators, which characterize the quality of

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Kokhanovskii, V. A., and D. V. Glazunov. "Multicriterial Optimization of the Composition of a Lubricant." Journal of Machinery Manufacture and Reliability 49, no. 7 (2020): 624–32. http://dx.doi.org/10.3103/s1052618820070080.

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Gawlicki, Michał, and Łukasz Jankowski. "Trajectory Identification for Moving Loads by Multicriterial Optimization." Sensors 21, no. 1 (2021): 304. http://dx.doi.org/10.3390/s21010304.

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Moving load is a fundamental loading pattern for many civil engineering structures and machines. This paper proposes and experimentally verifies an approach for indirect identification of 2D trajectories of moving loads. In line with the “structure as a sensor” paradigm, the identification is performed indirectly, based on the measured mechanical response of the structure. However, trivial solutions that directly fit the mechanical response tend to be erratic due to measurement and modeling errors. To achieve physically meaningful results, these solutions need to be numerically regularized wit

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Koleva, E., L. Koleva, Dm Trushnikov, G. Kolev, and Z. Petrova. "Multicriterial optimization strategies for electron beam welding processes." Journal of Physics: Conference Series 2240, no. 1 (2022): 012038. http://dx.doi.org/10.1088/1742-6596/2240/1/012038.

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Abstract The electron beam welding process is analyzed of high-strength steel type 15Cr5Mo samples with deflection oscillations along the zone of interaction. The geometries of the molten and the heat affected zones are studied in order to investigate the influence of the deflection oscillations parameters and to improve the seam quality. A robust engineering approach is implemented for the case of production conditions considering the errors in the process parameter settings. The problem of quality improvement through fulfilling pre-set technological and quality requirements is solved by scal

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Dissertations / Theses on the topic "Multicriterial optimization"

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Burggraf, Timo [Verfasser], Stefan [Akademischer Betreuer] Ulbrich, and Christian [Akademischer Betreuer] Beidl. "Development of an automatic, multidimensional, multicriterial optimization algorithm for the calibration of internal combustion engines / Timo Burggraf. Betreuer: Stefan Ulbrich ; Christian Beidl." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://nbn-resolving.de/urn:nbn:de:tuda-tuprints-43987.

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Burggraf, Timo Verfasser], Stefan [Akademischer Betreuer] [Ulbrich, and Christian [Akademischer Betreuer] Beidl. "Development of an automatic, multidimensional, multicriterial optimization algorithm for the calibration of internal combustion engines / Timo Burggraf. Betreuer: Stefan Ulbrich ; Christian Beidl." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://d-nb.info/1111112231/34.

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Dächert, Kerstin [Verfasser]. "Adaptive Parametric Scalarizations in Multicriteria Optimization / Kerstin Dächert." Wuppertal : Universitätsbibliothek Wuppertal, 2014. http://d-nb.info/1054221308/34.

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Filomeno, Coelho Rajan. "Multicriteria optimization with expert rules for mechanical design." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211184.

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Though lots of numerical methods have been proposed in the literature to optimize me-chanical structures at the final stage of the design process, few designers use these tools since the first stage. However, a minor modification at the first step can bring significant change to the global performances of the structure. Usually, during the initial stage, models are based on theoretical and empirical equations, which are often characterized by mixed variables: continuous (e.g. geometrical dimensions), discrete (e.g. the cross section of a beam available in a catalogue) and/or integer (e.g. the

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Zhang, Tianfang. "Machine learning multicriteria optimization in radiation therapy treatment planning." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257509.

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In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. Machine learning approaches can be especially sensitive to deviations in their dose pr

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Sánchez, Corrales Helem Sabina. "Multi-objective optimization and multicriteria design of PI /PID controllers." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/393990.

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Hoy en día, los controladores proporcionales integrales y proporcionales integrales derivativos son los algoritmos de control más utilizado en la industria. Por otra parte, los controladores fraccionarios han recibido atención recientemente, por parte de la comunidad científica y desde el punto de vista industrial. Debido a esto, en esta tesis algunos de los escenarios implican la sintonización de estos controladores mediante el procedimiento de diseño mediante la optimización multi-objetivo. Este procedimiento se centra en proporcionar un equilibrio razonable entre los objetivos en conf

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Bokrantz, Rasmus. "Multicriteria optimization for managing tradeoffs in radiation therapy treatment planning." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122663.

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Treatment planning for radiation therapy inherently involves tradeoffs, such as between tumor control and normal tissue sparing, between time-efficiency and dose quality, and between nominal plan quality and robustness. The purpose of this thesis is to develop methods that can facilitate decision making related to such tradeoffs. The main focus of the thesis is on multicriteria optimization methods where a representative set of treatment plans are first calculated and the most appropriate plan contained in this representation then selected by the treatment planner through continuous interpolat

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Schott, Jason R. (Jason Ramon). "Fault tolerant design using single and multicriteria genetic algorithm optimization." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11582.

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Arreola-Risa, Jesus S. "Multicriteria optimization for design of multivariate control charts for manufacturing processes." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/27997.

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Heiserer, Daniel F. [Verfasser]. "Fast Reanalysis for Large Scale Multicriteria Structural Optimization / Daniel F Heiserer." Aachen : Shaker, 2005. http://d-nb.info/1186576960/34.

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Books on the topic "Multicriterial optimization"

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Ehrgott, Matthias. Multicriteria Optimization. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-22199-0.

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Eschenauer, Hans, Juhani Koski, and Andrzej Osyczka, eds. Multicriteria Design Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-48697-5.

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Statnikov, Roman B., and Joseph B. Matusov. Multicriteria Optimization and Engineering. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2089-4.

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Statnikov, Roman B. Multicriteria Optimization and Engineering. Springer US, 1995.

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1948-, Matusov Joseph B., ed. Multicriteria optimization and engineering. Chapman & Hall, 1995.

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Statnikov, Roman B. Multicriteria Design: Optimization and Identification. Springer Netherlands, 1999.

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B, Statnikov R. Multicriteria design: Optimization and identification. Kluwer Academic, 1999.

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Hans, Eschenauer, Koski Juhani 1947-, and Osyczka Andrzej, eds. Multicriteria design optimization: Procedures and applications. Springer-Verlag, 1990.

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Eschenauer, Hans. Multicriteria Design Optimization: Procedures and Applications. Springer Berlin Heidelberg, 1990.

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Pitel, Jozef. Multicriterion optimization and its utilization in agriculture. Elsevier, 1990.

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Book chapters on the topic "Multicriterial optimization"

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Klapka, Jindřich, Petr Piňos, and Vítězslav Ševčík. "Multicriterial Projects Selection." In Handbook of Optimization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30504-7_10.

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Podinovski, Vladislav V., and Andrey P. Nelyubin. "Mean Values: A Multicriterial Analysis." In Data Analysis and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31654-8_17.

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Rabinovitch, Mark. "Multicriterial Optimization in Production and Management." In Operations Research ’93. Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-46955-8_99.

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Wu, Guohua, Zhenwu Chen, Yiping Zeng, et al. "Multicriterial Path Optimization of Emergency Vehicles." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3682-9_27.

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Gergel, Victor, and Evgeny Kozinov. "GPU-Based Parallel Computations in Multicriterial Optimization." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05807-4_8.

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Gergel, Victor, and Evgeny Kozinov. "Parallel Computing for Time-Consuming Multicriterial Optimization Problems." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62932-2_43.

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Rotar, Corina. "An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm." In Genetic and Evolutionary Computation – GECCO 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24855-2_50.

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Muzalewska, Małgorzata, and Wojciech Moczulski. "Methodology of multicriterial optimization of geometric features of an orthopedic implant." In Innovations in Biomedical Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70063-2_31.

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Zawidzki, Machi, and Łukasz Jankowski. "Multicriterial Optimization of Geometrical and Structural Properties of the Basic Module of a Single-Branch Truss-Z Structure." In Advances in Structural and Multidisciplinary Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67988-4_11.

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Gergel, Victor, and Evgeny Kozinov. "An Approach for Parallel Solving the Multicriterial Optimization Problems with Non-convex Constraints." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71255-0_10.

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Conference papers on the topic "Multicriterial optimization"

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Sudorgin, Roman O., Maxim G. Pletnev, Dmitry R. Bokarev, and Igor Y. Kashtanov. "Analytical Methods of Multicriterial Optimization in Logistic Transport Systems." In 2025 Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE, 2025. https://doi.org/10.1109/ieeeconf64229.2025.10948036.

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Bezruk, Valery, Daria Chebotaryova, and Yuliia Skoryk. "Multicriterial optimization of communication means." In 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2022. http://dx.doi.org/10.1109/tcset55632.2022.9766957.

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Rijavec, Nenad, and Arianne Hinds. "Multicriterial Optimization Approach to Eliminating Multiplications." In 2006 IEEE Workshop on Multimedia Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/mmsp.2006.285332.

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Zanic, Vedran, Stanislav Kitarovic, and Pero Prebeg. "Safety as Objective in Multicriterial Structural Optimization." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20712.

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Multicriterial design methodology with safety as one of the design objectives is presented. The aim of the paper is to analyze the influence of safety based design objectives on generated nondominated designs on the Pareto frontier. Possible improvements in nondominated designs are investigated by comparison to ones obtained with the standard design procedure when safety criteria are used as design constraints only. It is assumed that safety based objectives and targets act as attractors, driving nondominated designs along the constant cost/weight contours in design space towards its safer reg

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Zavalishchin, Dmitry, and Galina Timofeeva. "Multicriterial optimization of transportation based on customers probabilistic preferences." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5137935.

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Gergel, Victor, and Evgeny Kozinov. "Accelerating multicriterial optimization by the intensive exploitation of accumulated search data." In NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2016): Proceedings of the 2nd International Conference “Numerical Computations: Theory and Algorithms”. Author(s), 2016. http://dx.doi.org/10.1063/1.4965367.

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Guini, Fatimazahra, Abdellah El Barkany, and Abdelouahhab Jabri. "Multicriterial evaluation of process planning of a new product in the stage of its design." In 2018 4th International Conference on Optimization and Applications (ICOA). IEEE, 2018. http://dx.doi.org/10.1109/icoa.2018.8370571.

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Kishkin, Krasimir, Dimitar Arnaudov, Venelin Todorov, and Stefka Fidanova. "Multicriterial evaluation and optimization of an algorithm for charging energy storage elements." In 16th Conference on Computer Science and Intelligence Systems. PTI, 2021. http://dx.doi.org/10.15439/2021f55.

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Forth, Kasimir, Jimmy Abualdenien, André Borrmann, Sabrina Fellermann, and Christian Schunicht. "Design optimization approach comparing multicriterial variants using BIM in early design stages." In 38th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2021. http://dx.doi.org/10.22260/isarc2021/0034.

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Emelichev, Vladimir, and Vladimir Korotkov. "Investigation in stability of Markowitz's multicriterial portfolio optimization problem with Wald's maximin criteria in euclidean metric." In 2012 IV International Conference "Problems of Cybernetics and Informatics" (PCI). IEEE, 2012. http://dx.doi.org/10.1109/icpci.2012.6486478.

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Reports on the topic "Multicriterial optimization"

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Stepanović, Milica, Dragoljub Bajić, and Dušan Polomši. Multicriteria Analysis and Optimization of Groundwater Control Systems with Variable Values of Criterion over Predefined Time Points. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2021. http://dx.doi.org/10.7546/crabs.2021.08.09.

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