Relevant bibliographies by topics / Multiobjective synthesis

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

Academic literature on the topic 'Multiobjective synthesis'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Multiobjective synthesis"

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Liu, Yan, Yong-Chang Jiao, Ya-Ming Zhang, and Yan-Yan Tan. "Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/630529.

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Synthesis of phase-only reconfigurable array aims at finding a common amplitude distribution and different phase distributions for the array to form different patterns. In this paper, the synthesis problem is formulated as a multiobjective optimization problem and solved by a new proposed algorithm MOEA/D-IWO. First, novel strategies are introduced in invasive weed optimization (IWO) to make original IWO fit for solving multiobjective optimization problems; then, the modified IWO is integrated into the framework of the recently well proved competitive multiobjective optimization algorithm MOEA
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da Cruz, André R., Rodrigo T. N. Cardoso, and Ricardo H. C. Takahashi. "Multiobjective synthesis of robust vaccination policies." Applied Soft Computing 50 (January 2017): 34–47. http://dx.doi.org/10.1016/j.asoc.2016.11.010.

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Pappula, Lakshman, and Debalina Ghosh. "Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization." Applied Computational Intelligence and Soft Computing 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4102156.

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The process of thinned antenna array synthesis involves the optimization of a number of mutually conflicting parameters, such as peak sidelobe level, first null beam width, and number of active elements. This necessitates the development of a multiobjective optimization approach which will provide the best compromised solution based on the application at hand. In this paper, a novel multiobjective normal mutated binary cat swarm optimization (MO-NMBCSO) is developed and proposed for the synthesis of thinned planar antenna arrays. Through this method, a high degree of flexibility is introduced
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Kelaiaia, Ridha, Olivier Company, and Abdelouahab Zaatri. "Multiobjective optimization of parallel kinematic mechanisms by the genetic algorithms." Robotica 30, no. 5 (2011): 783–97. http://dx.doi.org/10.1017/s0263574711001032.

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SUMMARYIt is well known that Parallel Kinematic Mechanisms (PKMs) have an intrinsic dynamic potential (very high speed and acceleration) with high precision and high stiffness. Nevertheless, the choice of optimal dimensions that provide the best performances remains a difficult task, since performances strongly depend on dimensions. On the other hand, there are many criteria of performance that must be taken into account for dimensional synthesis, and which are sometimes antagonist. This paper presents an approach of multiobjective optimization for PKMs that takes into account several criteria
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Kuznetsov, B. I., T. B. Nikitina, and I. V. Bovdui. "MULTIOBJECTIVE SYNTHESIS OF TWO DEGREE OF FREEDOM NONLINEAR ROBUST CONTROL BY DISCRETE CONTINUOUS PLANT." Tekhnichna Elektrodynamika 2020, no. 5 (2020): 10–14. http://dx.doi.org/10.15407/techned2020.05.010.

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Degtyarev, G. L., R. N. Faizutdinov, and I. O. Spiridonov. "Multiobjective Robust Controller Synthesis for Nonlinear Mechanical System." Mekhatronika, Avtomatizatsiya, Upravlenie 19, no. 11 (2018): 691–98. http://dx.doi.org/10.17587/mau.19.691-698.

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In the paper multiobjective robust controller synthesis problem for nonlinear mechanical system described by Lagrange’s equations of the second kind is considered. Such tasks have numerous practical applications, for example in controller design of robotic systems and gyro-stabilized platforms. In practice, we often have to use uncertain mathematical plant models in controller design. Therefore, ensuring robustness in presence of parameters perturbations and unknown external disturbances is an important requirement for designed systems. Much of modern robust control theory is linear. When the
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Di Barba, Paolo, Maria Evelina Mognaschi, Paolo Venini, and Slavomir Wiak. "Biogeography-inspired multiobjective optimization for helping MEMS synthesis." Archives of Electrical Engineering 66, no. 3 (2017): 607–23. http://dx.doi.org/10.1515/aee-2017-0046.

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AbstractThe aim of the paper is to assess the applicability of a multi-objective biogeography-based optimisation algorithm in MEMS synthesis. In order to test the performances of the proposed method in this research field, the optimal shape design of an electrostatic micromotor, and two different electro-thermo-elastic microactuators are considered as the case studies.
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Li, Wentao, Yongqiang Hei, Jing Yang, and Xiaowei Shi. "3D Pattern Synthesis of Time-Modulated Conformal Arrays with a Multiobjective Optimization Approach." International Journal of Antennas and Propagation 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/687124.

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This paper addresses the synthesis of the three-dimensional (3D) radiation patterns of the time-modulated conformal arrays. Due to the nature of periodic time modulation, harmonic radiation patterns are generated at the multiples of the modulation frequency in time-modulated arrays. Thus, the optimization goal of the time-modulated conformal array includes the optimization of the sidelobe level at the operating frequency and the sideband levels (SBLs) at the harmonic frequency, and the design can be regarded as a multiobjective problem. The multiobjective particle swarm optimization (MOPSO) is
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Reyes Fernandez de Bulnes, Darian, Yazmin Maldonado, and Leonardo Trujillo. "Development of Multiobjective High-Level Synthesis for FPGAs." Scientific Programming 2020 (June 29, 2020): 1–25. http://dx.doi.org/10.1155/2020/7095048.

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Traditionally, the High-Level Synthesis (HLS) for Field Programmable Gate Array (FPGA) devices is a methodology that transforms a behavioral description, as the timing-independent specification, to an abstraction level that is synthesizable, like the Register Transfer Level. This process can be performed under a framework that is known as Design Space Exploration (DSE), which helps to determine the best design by addressing scheduling, allocation, and binding problems, all three of which are NP-hard problems. In this manner, and due to the increased complexity of modern digital circuit designs
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Kravanja, Z., M. Ropotar, and Z. N. Pintarič. "Two-step multiobjective synthesis of sustainable chemical processes." Theoretical Foundations of Chemical Engineering 46, no. 6 (2012): 681–90. http://dx.doi.org/10.1134/s0040579512060140.

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Dissertations / Theses on the topic "Multiobjective synthesis"

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Lomeli, Rodriguez M. E. "Synthesis, characterisation, process simulation and multiobjective optimisation of biomass-derived renewable polyesters : an integrative study toward a sustainable polymer industry." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3008888/.

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The objective of this PhD thesis was to produce a complete research study in the field of polyesters derived from biomass feedstocks, by integrating knowledge from polymer chemistry, polymer reaction engineering and process engineering. Previous research in the area of biopolymers has been mainly focused in their synthesis and characterisation whereas the process and reaction engineering work remains scarce. A thorough systematic framework was therefore developed, which was comprised not only by the renewable polymer synthesis and characterisation, but also by kinetic modelling, simulation and
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Petrlík, Jiří. "Multikriteriální kartézské genetické programování." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236937.

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The aim of this diploma thesis is to survey the area of multiobjective genetic algorithms and cartesian genetic programming. In detail the NSGAII algorithm and integration of multiobjective optimalization into cartesian genetic programming are described. The method of multiobjective CGP was tested on selected problems from the area of digital circuit design.
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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, Українська інженерно-педагогічна академія, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22705.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016. У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Ба
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CLEMENT, BENOIT. "Synthese multiobjectifs et sequencement de gains : application au pilotage d'un lanceur spatial." Paris 11, 2001. http://www.theses.fr/2001PA112147.

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Les travaux de notre these reposent sur des reflexions menees sur la problematique du pilotage des lanceurs spatiaux ; celles-ci nous ont conduit a considerer les themes de la synthese multiobjectifs et du sequencement de gains dans le cadre de la commande numerique de systemes flexibles non stationnaires, en utilisant des methodes d'optimisation convexe. La parametrisation de youla, caracterisation de l'ensemble des correcteurs stabilisant un systeme donne, nous a permis de developper une methode de synthese multiobjectifs qui a le triple avantage de transformer le probleme initial en un prob
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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22704.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016. У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Баг
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Books on the topic "Multiobjective synthesis"

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United States. National Aeronautics and Space Administration., ed. Multiobjective optimization of hybrid regenerative life support technologies, (topic D, technology assessment): NASA interim progress report. National Aeronautics and Space Administration, 1995.

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Multiobjective Optimization In Physical Synthesis Of Integrated Circuits. Springer, 2012.

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Barba, Paolo Di. Multiobjective Shape Design in Electricity and Magnetism. Springer Netherlands, 2012.

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Multiobjective shape design in electricity and magnetism. Springer, 2010.

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Multiobjective optimization of hybrid regenerative life support technologies, (topic D, technology assessment): NASA interim progress report. National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "Multiobjective synthesis"

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Lygeros, John, Claire Tomlin, and Shankar Sastry. "Multiobjective hybrid controller synthesis." In Hybrid and Real-Time Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0014720.

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Ebihara, Yoshio, Dimitri Peaucelle, and Denis Arzelier. "Multiobjective Controller Synthesis for LTI Systems." In S-Variable Approach to LMI-Based Robust Control. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6606-1_5.

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Djaferis, Theodore E. "Fit Synthesis for Robust Multiobjective Performance." In Robust Control Design: A Polynomial Approach. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2293-5_9.

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Mohammadazadeh, Ardahir, Mohammad Hosein Sabzalian, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy, and Saleh Mobayen. "Designing Neural-Fuzzy PID Controller Through Multiobjective Optimization." In Synthesis Lectures on Intelligent Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14571-1_8.

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da Silva, Marcus Vinícius Carvalho, Nadia Nedjah, and Luiza de Macedo Mourelle. "Application Synthesis for MPSoCs Implementation Using Multiobjective Optimization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02478-8_92.

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Dick, Robert P., Niraj K. Jha, Robert P. Dick, and Niraj K. Jha. "MOCSYN: Multiobjective Core-Based Single-Chip System Synthesis." In Design, Automation, and Test in Europe. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6488-3_22.

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de Toro, Francisco, Raúl Jiménez, Manuel Sánchez, and Julio Ortega. "Synthesis of Hybrid CBL/CMOS Cell Using Multiobjective Evolutionary Algorithms." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556930_64.

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Kamalian, Raffi, Ying Zhang, Hideyuki Takagi, and Alice M. Agogino. "Evolutionary Synthesis of Micromachines Using Supervisory Multiobjective Interactive Evolutionary Computation." In Advances in Machine Learning and Cybernetics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_45.

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Marghany, Maged. "Quantum Multiobjective Algorithm for Automatic Detection of Tropical Cyclone in Synthetic Aperture Radar Satellite Data." In Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns. CRC Press, 2024. http://dx.doi.org/10.1201/9781003322276-11.

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Zheng, Shiqing, Jincai Yue, Li Yugang, Tan Xinshun, and Han Fangyu. "Study on multiobjective process synthesis in modular simulator environment." In Computer Aided Chemical Engineering. Elsevier, 2003. http://dx.doi.org/10.1016/s1570-7946(03)80513-8.

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Conference papers on the topic "Multiobjective synthesis"

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Abderazek, Ben A., Mushfiquzzaman Akanda, Tsutomu Yoshinaga, and Masahiro Sowa. "Mathematical Model for Multiobjective Synthesis of NoC Architectures." In 2007 International Conference on Parallel Processing Workshops (ICPPW 2007). IEEE, 2007. http://dx.doi.org/10.1109/icppw.2007.50.

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Wolkerstorfer, Martin, and Steffen Trautmann. "Sequential multiobjective optimization for large-scale passive filter synthesis." In 2013 European Conference on Circuit Theory and Design (ECCTD). IEEE, 2013. http://dx.doi.org/10.1109/ecctd.2013.6662305.

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Bin, Liu, Sun Jiuqiang, Cui Yangyang, and Li Wei. "Multiobjective H2/H∞ synthesis via group-preserving scheme." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852187.

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Liang He and Guang-Ren Duan. "Multiobjective control synthesis for a class of uncertain fuzzy systems." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527375.

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Yagoubi, M., Y. Feng, and P. Chevrel. "Extended LMI characterizations and multiobjective synthesis for discrete descriptor systems." In Automation (MED 2010). IEEE, 2010. http://dx.doi.org/10.1109/med.2010.5547770.

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Das, Sudipta, Durbadal Mandal, Rajib Kar, and Sakti Prasad Ghoshal. "Multiobjective space-only synthesis of concentric regular hexagonal antenna arrays." In 2015 7th International Conference on Knowledge and Smart Technology (KST). IEEE, 2015. http://dx.doi.org/10.1109/kst.2015.7051465.

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Shen, Yanjun, Weimin Shen, and Jason Gu. "A New Extended LMIs Approach for Continuous-time Multiobjective Controllers Synthesis." In 2006 International Conference on Mechatronics and Automation. IEEE, 2006. http://dx.doi.org/10.1109/icma.2006.257771.

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Bachur, Wagner Eustaquio Gomes, Eduardo Nunes Goncalves, Reinaldo Martinez Palhares, and Ricardo Hiroshi Caldeira Takahashi. "Multiobjective robust dynamic output-feeback control synthesis based on reference model." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717745.

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Crosby, Harry P., Katherine E. Zalegowski, and Raphael Christian C. Batto. "Concept Exploration of a Surface Effect Patrol Combatant Using a Multiobjective Synthesis Model." In SNAME International Conference on Fast Sea Transportation. SNAME, 2021. http://dx.doi.org/10.5957/fast-2021-017.

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This paper demonstrates a concept design methodology for naval SESs that is adapted from modern surface combatant optimization techniques. Similar to current methods, a synthesis model is constructed that uses a variety of discrete and continuous input values to calculate ship characteristics and performance data. The model outputs are generated using a combination of first-principles and exact 3D geometry along with parametrics aggregated from conventional monohulls and SES historical data. A specifically formulated multiobjective genetic algorithm is integrated with the model. The algorithm
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Rangavajhala, Sirisha, and Achille Messac. "Decision Making and Constraint Tradeoff Visualization for Design Under Uncertainty." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35385.

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In design optimization problems under uncertainty, two conflicting issues are generally of interest to the designer: feasibility and optimality. In this research, we adopt the philosophy that design, especially under uncertainty, is a decision making process, where the associated tradeoffs can be conveniently understood using multiobjective optimization. The importance of constraint feasibility and the associated tradeoffs, especially in the presence of equality constraints, is examined in this paper. We propose a three-step decision making framework that facilitates effective decision making
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