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 May 2022

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Journal articles on the topic "Multiobjective synthesis"

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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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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 (August 25, 2020): 10–14. http://dx.doi.org/10.15407/techned2020.05.010.

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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/D to form a new competitive MOEA/D-IWO algorithm. At last, two sets of experiments are carried out to illustrate the effectiveness of MOEA/D-IWO. In addition, MOEA/D-IWO is compared with MOEA/D-DE, a new version of MOEA/D. The comparing results show the superiority of MOEA/D-IWO and indicate its potential for solving the antenna array synthesis problems.
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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 to the realm of thinned array design. A Pareto-optimal front containing all the probable designs is obtained in this process. Targeted solutions may be chosen from the Pareto front to satisfy the different requirements demonstrating the superiority of the proposed approach over multiobjective binary particle swarm optimization method (MO-BPSO). A comparative study is carried out to quantify the performance of the two algorithms using two performance metrics.
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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 (November 8, 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 actual system exhibits nonlinear behavior, nonlinearities are usually included in the uncertainty set of the plant. A disadvantage of this approach is that resulting controllers may be too conservative especially when nonlinearities are significant. The nonlinear H∞ optimal control theory developed on the basis of differential game theory is a natural extension of the linear robust control theory. Nonlinear theory methods ensure robust stability of designed control systems. However, to determine nonlinear H∞-control law, the partial differential equation have to be solved which is a rather complicated task. In addition, it is difficult to ensure robust performance of controlled processes when using this method. In this paper, methods of linear parameter-varying (LPV) systems are used to synthesize robust control law. It is shown, that Lagrange system may be adequately represented in the form of quasi-LPV model. From the computational point of view, the synthesis procedure is reduced to convex optimization techniques under constraints expressed in the form of linear matrix inequalities (LMIs). Measured parameters are incorporated in the control law, thus ensuring continuous adjustment of the controller parameters to the current plant dynamics and better performance of control processes in comparison with H∞-regulators. Furthermore, the use of the LMIs allows to take into account the transient performance requirements in the controller synthesis. Since the quasi-LPV system depends continuously on the parameter vector, the LMI system is infinite-dimensional. This infinitedimensional system is reduced to a finite set of LMIs by introducing a polytopic LPV representation. The example of multiobjective robust control synthesis for electro-optical device’s line of sight pointing and stabilization system suspended in two-axes inertially stabilized platform is given.
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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 (September 1, 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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Kelaiaia, Ridha, Olivier Company, and Abdelouahab Zaatri. "Multiobjective optimization of parallel kinematic mechanisms by the genetic algorithms." Robotica 30, no. 5 (September 30, 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 of performance simultaneously that have a direct impact on the dimensional synthesis of PKMs. We first present some criteria of performance such as the workspace, transmission speeds, stiffness, dexterity, precision, as well as dynamic dexterity. Secondly, we present the problem of dimensional synthesis, which will be defined as a multiobjective optimization problem. The method of genetic algorithms is used to solve this type of multiobjective optimization problem by means of NSGA-II and SPEA-II algorithms. Finally, based on a linear Delta architecture, we present an illustrative application of this methodology to a 3-axis machine tool in the context of manufacturing of automotive parts.
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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 and concerns regarding the capacity of the FPGAs, designers are proposing novel HLS techniques capable of performing automatic optimization. HLS has several conflicting metrics or objective functions, such as delay, area, power, wire length, digital noise, reliability, and security. For this reason, it is suitable to apply Multiobjective Optimization Algorithms (MOAs), which can handle the different trade-offs among the objective functions. During the last two decades, several MOAs have been applied to solve this problem. This paper introduces a comprehensive analysis of different MOAs that are suitable to perform HLS for FPGA devices. We highlight significant aspects of MOAs, namely, optimization methods, intermediate structures where the optimizations are performed, HLS techniques that are addressed, and benchmarks and performance assessments employed for experimentation. In addition, we show the analysis of how multiple objectives are optimized currently in the algorithms and which are the objective functions that are optimized. Finally, we provide insights and suggestions to contribute to the solution of major research challenges in this area.
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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 (November 2012): 681–90. http://dx.doi.org/10.1134/s0040579512060140.

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del Rio-Chanona, Ehecatl Antonio, Dongda Zhang, and Nilay Shah. "Sustainable biopolymer synthesis via superstructure and multiobjective optimization." AIChE Journal 64, no. 1 (July 31, 2017): 91–103. http://dx.doi.org/10.1002/aic.15877.

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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 optimisation tools, prompting the scale up and real application of these polymers and providing tangible and useful information to academia, polymer industry and policy makers.
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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. Багатокритеріальний синтез анізотропійних регуляторів зведено до рішення задачі векторного математичного нелінійного програмування, в якій обчислення векторної цільової функції і обмежень зводиться до ітеративного рішення системи з чотирьох пов'язаних рівнянь Ріккаті, рівняння Ляпунова та обчислення виразу спеціального виду. Удосконалено метод рішення багатокритеріальної задачі математичного програмування на основі багатороєвоі стохастичної мультиагентної оптимізації на основі Парето – оптимальних рішень. Досліджено динамічні характеристики синтезованих багатомасових електромеханічних систем з анізотропійними регуляторами, які синтезовані на основі багатокритеріального підходу. Застосування робастних регуляторів дозволило підвищити швидкодію системи за рахунок скорочення часу першого узгодження в 4,1 разів, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази, системи до зміни параметрів об'єкту керування у порівнянні із системою з типовими регуляторами. Проведено експериментальні дослідження синтезованих систем із анізотропійними регуляторами на стенді стохастичної двомасової електромеханічної системи. Експериментально встановлено, що застосування анізотропійних регуляторів у стенді двомасової електромеханічної системи дозволило скоротити час першого узгодження регулювання швидкості у 2 рази, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази у порівнянні із системою з типовими регуляторами.
Thesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016. The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
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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 probleme d'optimisation convexe sous contraintes lmi (inegalites matricielles lineaires), de reduire le conservatisme de la synthese, et de proposer un correcteur structure sous la forme classique d'un observateur et d'un retour d'etat. C'est aussi cette structuration qui nous a amene a considerer l'interpolation de correcteurs sous cette forme specifique dans le cadre de la commande par gains sequences de systemes lineaires non stationnaires. En experimentant ces methodes sur le pilotage d'un lanceur spatial, notre objectif est de montrer que les aspects theoriques (structuration d'un correcteur, synthese multiobjectifs et interpolation de correcteurs) se revelent facilement adaptables aux specificites du probleme pose : ils se situent a mi-chemin entre preoccupations pratiques et bases theoriques generales. Les aspects pratiques de la validation de ces experimentations sont mis en uvre sur un simulateur numerique que nous avons developpe en collaboration avec le cnes, eads launch vehicles et l'onera.
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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. Багатокритеріальний синтез анізотропійних регуляторів зведено до рішення задачі векторного математичного нелінійного програмування, в якій обчислення векторної цільової функції і обмежень зводиться до ітеративного рішення системи з чотирьох пов'язаних рівнянь Ріккаті, рівняння Ляпунова та обчислення виразу спеціального виду. Удосконалено метод рішення багатокритеріальної задачі математичного програмування на основі багатороєвоі стохастичної мультиагентної оптимізації на основі Парето – оптимальних рішень. Досліджено динамічні характеристики синтезованих багатомасових електромеханічних систем з анізотропійними регуляторами, які синтезовані на основі багатокритеріального підходу. Застосування робастних регуляторів дозволило підвищити швидкодію системи за рахунок скорочення часу першого узгодження в 4,1 разів, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази, системи до зміни параметрів об'єкту керування у порівнянні із системою з типовими регуляторами. Проведено експериментальні дослідження синтезованих систем із анізотропійними регуляторами на стенді стохастичної двомасової електромеханічної системи. Експериментально встановлено, що застосування анізотропійних регуляторів у стенді двомасової електромеханічної системи дозволило скоротити час першого узгодження регулювання швидкості у 2 рази, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази у порівнянні із системою з типовими регуляторами.
Thesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016. The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
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Books on the topic "Multiobjective synthesis"

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

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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. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Multiobjective optimization of hybrid regenerative life support technologies, (topic D, technology assessment): NASA interim progress report. [Washington, DC: 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, 109–23. Berlin, Heidelberg: 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, 139–64. London: 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, 175–93. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2293-5_9.

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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, 736–43. Berlin, Heidelberg: 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, 291–311. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6488-3_22.

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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, 428–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_45.

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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, 629–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556930_64.

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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, 1441–46. Elsevier, 2003. http://dx.doi.org/10.1016/s1570-7946(03)80513-8.

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Zavala, V. M. "Managing Conflicts Among Decision Makers in Multiobjective Design and Operations." In Sustainability in the Design, Synthesis and Analysis of Chemical Engineering Processes, 169–80. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-802032-6.00007-4.

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Fernández-Torres, María J., Norberto García, and José A. Caballero. "Isobutane Alkylation Process Synthesis by means of Hybrid Simulation-Multiobjective Optimization." In Computer Aided Chemical Engineering, 1369–74. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-444-63455-9.50063-5.

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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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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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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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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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Abstract:
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 explores the highly nonlinear and non-convex SES objective space to identify non-dominated design variants. The synthesis model and the associated design space for a patrol boat with a novel SES hullform is detailed. Tradeoffs are evaluated in objective criteria of cost and performance in high-speed littoral operations that include surveillance, reconnaissance, and surface warfare.
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Pak, Murat, Francisco V. Fernandez, and Gunhan Dundar. "Optimization of a MEMS accelerometer using a multiobjective evolutionary algorithm." In 2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD). IEEE, 2017. http://dx.doi.org/10.1109/smacd.2017.7981574.

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