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Relevant bibliographies by topics / Multi-objective topology optimization

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Academic literature on the topic 'Multi-objective topology optimization'

Author: Grafiati

Published: 30 June 2021

Last updated: 29 July 2025

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Journal articles on the topic "Multi-objective topology optimization"

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Lee, Chen Jian Ken, and Hirohisa Noguchi. "515 Multi-objective topology optimization involving 3D surfaces." Proceedings of The Computational Mechanics Conference 2008.21 (2008): 233–34. http://dx.doi.org/10.1299/jsmecmd.2008.21.233.

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Kunakote, Tawatchai, and Sujin Bureerat. "Multi-objective topology optimization using evolutionary algorithms." Engineering Optimization 43, no. 5 (2011): 541–57. http://dx.doi.org/10.1080/0305215x.2010.502935.

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MARUO, Akito, Norihiko ITANI, Ayano HASOME, Takashi YAMAZAKI, and Hajime IGARASHI. "Multi-objective topology design optimization combined with robust optimization." Journal of Advanced Mechanical Design, Systems, and Manufacturing 17, no. 3 (2023): JAMDSM0038. http://dx.doi.org/10.1299/jamdsm.2023jamdsm0038.

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Ma, Yue, Qilin Shu, Longjun Tan, and Chen Tian. "Multi-objective Topology Optimization Design for a Certain Launcher Bracket." Innovation & Technology Advances 2, no. 2 (2024): 46–58. http://dx.doi.org/10.61187/ita.v2i2.118.

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To achieve weight reduction and enhance the firing accuracy of a specific type of launch device, the bracket was selected as the optimization subject for multi-objective topology optimization. Single-objective optimization often overlooks other influencing factors. To address the limitations of single-objective optimization, this study adopts the variable density method from the SIMP approach and proposes a multi-objective topology optimization based on compromise programming. This study, through multi-objective topology optimization of the bracket, obtained an optimized topology structure tha

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Li, Qiding, Zhengping Huang, Ketian Li, Xiying Wang, Cheng Yu, and Bing Li. "Multi-objective topology optimization simulation study based on motor." Journal of Physics: Conference Series 2791, no. 1 (2024): 012067. http://dx.doi.org/10.1088/1742-6596/2791/1/012067.

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Abstract OptiStruct software is applied for structural optimization of the motor structure to solve the problem of resonance in a specific operating frequency range and reduce the motor operating noise. Comparing the experimental and simulated modal frequencies, a modified multi-objective topology optimization model is proposed to ensure the validity of the model, and a new optimization function is constructed to optimize the multi-objective topology of the motor housing. The results show that the geometric reconfiguration of the motor housing concerning the optimized model force transmission

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Li, Guyang, Lin Li, Zhigang Peng, and Sanbao Hu. "Multi-objective Topology Optimization of the Temperature Field Considering the Material Nonlinearities." Journal of Physics: Conference Series 2441, no. 1 (2023): 012018. http://dx.doi.org/10.1088/1742-6596/2441/1/012018.

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Abstract This paper presents a multi-objective topology optimization method for the temperature field considering the material nonlinearities. Although a large number of papers have studied the topology optimizations of the heat transfer problems, none of them considered the influence of the material nonlinearity properties. In this paper, the material nonlinearity is considered. Based on the nonlinear assumption, the mathematical model of the corresponding topology optimization is presented first. Then, the sensitivities of the objectives and the constraints respect to the design variables ar

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王, 长浩. "Multi-Objective Topology Optimization of Industrial Robot Arm." Mechanical Engineering and Technology 11, no. 06 (2022): 675–85. http://dx.doi.org/10.12677/met.2022.116077.

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Hu, Siyang, Ulrike Fitzer, Khai Chau Nguyen, Dennis Hohlfeld, Jan G. Korvink, and Tamara Bechtold. "Multi-Objective Topology Optimization of a Broadband Piezoelectric Energy Harvester." Micromachines 14, no. 2 (2023): 332. http://dx.doi.org/10.3390/mi14020332.

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In recent years, topology optimization has proved itself to be state of the art in the design of mechanical structures. At the same time, energy harvesting has gained a lot of attention in research and industry. In this work, we present a novel topology optimization of a multi-resonant piezoelectric energy-harvester device. The goal is to develop a broadband design that can generate constant power output over a range of frequencies, thus enabling reliable operation under changing environmental conditions. To achieve this goal, topology optimization is implemented with a combined-objective func

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Bian, Xiang, Zong De Fang, Kun Qin, Lifei Lian, and Bao Yu Zhang. "Multi-Objective Topology Optimization for Bevel Gear and Geometrical Reconstruction." Applied Mechanics and Materials 278-280 (January 2013): 139–42. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.139.

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Usually the gear modification is a main measure to reduce the vibration and noise of the gears, but in view of the complexity of the gear modification, topology optimization method was used to optimize the structure of the gear. The minimum volume was set as the direct optimization goal. To achieve the target of reducing contact stress, tooth root bending stress and improving flexibility, the upper bound of the stress and lower bound of the flexibility were set appropriately, thus realizing multi-objective optimization indirectly. A method for converting topology result into parametric CAD mod

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Gong, Yunyi, Yoshitsugu Otomo, and Hajime Igarashi. "Multi-objective topology optimization of magnetic couplers for wireless power transfer." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (2020): 325–33. http://dx.doi.org/10.3233/jae-209337.

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In this paper, the multi-objective topology optimizations of wireless power transfer (WPT) devices with two different coil geometries are proposed for obtaining the designs with good balance between transfer efficiency and safety. For this purpose, the proposed method adopts the normalized Gaussian network (NGnet) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition, the optimization under the different constraint on ferrite volume is carried out to verify its influence on optimization results. It has been shown that the proposed method successfully provides the Pareto solutio

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Dissertations / Theses on the topic "Multi-objective topology optimization"

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Haidine, Abdelfatteh. "Multi-objective combinatorial optimization in topology planning of wireline broadband access networks." Köln WiKu-Verl, 2008. http://d-nb.info/99229200X/04.

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Curwen, Vincent, and Alexander Saxin. "Analysis and optimal design of a titanium aircraft bracket using topology optimization." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20004.

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Sustainable engineering within product development is becoming increasingly important with the ever-growing amounts of resources used to sustain the human way of life in modern times. An effective way of helping to deal with this problem is to reduce the resources used in products and components across the world. This thesis explores the effectiveness of the topology optimization method in achieving significant material reductions whilst maintaining structural strength and integrity when designing an aircraft component. The part is an engine handling mounting bracket which will be optimized to

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Pardo, María Alejandra Guzmán. "Técnicas de otimização baseadas em quimiotaxia de bactérias." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18146/tde-19012011-120319/.

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Em sentido geral, a quimiotaxia é o movimento dirigido que desenvolvem alguns seres vivos em resposta aos gradientes químicos presentes no seu ambiente. Uma bactéria é um organismo unicelular que usa a quimiotaxia como mecanismo de mobilização para encontrar os nutrientes de que precisa para sobreviver e para escapar de ambientes nocivos. Evoluída durante milhões de anos pela natureza, a quimiotaxia de bactérias é um processo altamente otimizado de busca e exploração em espaços desconhecidos. Graças aos avanços no campo da computação, as estratégias quimiotácticas das bactérias e sua excelente

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Li, Yilun. "Numerical methodologies for topology optimization of electromagnetic devices." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS228.

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L'optimisation de la topologie est la conception conceptuelle d'un produit. En comparaison avec les approches de conception conventionnelles, il peut créer une nouvelle topologie, qui ne pouvait être imaginée à l’avance, en particulier pour la conception d’un produit sans expérience préalable ni connaissance. En effet, la technique de la topologie consistant à rechercher des topologies efficaces à partir de brouillon devient un sérieux atout pour les concepteurs. Bien qu’elle provienne de l'optimisation de la structure, l'optimisation de la topologie en champ électromagnétique a prospéré au co

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Akteke-ozturk, Basak. "New Approaches To Desirability Functions By Nonsmooth And Nonlinear Optimization." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612649/index.pdf.

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Desirability Functions continue to attract attention of scientists and researchers working in the area of multi-response optimization. There are many versions of such functions, differing mainly in formulations of individual and overall desirability functions. Derringer and Suich&rsquo<br>s desirability functions being used throughout this thesis are still the most preferred ones in practice and many other versions are derived from these. On the other hand, they have a drawback of containing nondifferentiable points and, hence, being nonsmooth. Current approaches to their optimization, which a

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Pinho, Flávio Augusto Xavier Carneiro. "Métodos de densidade em otimização de topologia aplicados a subsistemas de edifícios." Universidade Federal de Goiás, 2015. http://repositorio.bc.ufg.br/tede/handle/tede/5187.

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Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-01-29T14:45:57Z No. of bitstreams: 2 Dissertação - Flávio Augusto Xavier Carneiro Pinho - 2015.pdf: 5478560 bytes, checksum: 3507be4593cbd586348d2f5a2bfe2f9f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-02-01T11:53:05Z (GMT) No. of bitstreams: 2 Dissertação - Flávio Augusto Xavier Carneiro Pinho - 2015.pdf: 5478560 bytes, checksum: 3507be4593cbd586348d2f5a2bfe2f9f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfa

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Oliveira, Giovana Trindade da Silva. "Projeto ótimo de robôs manipuladores 3r considerando a topologia do espaço de trabalho." Universidade Federal de Uberlândia, 2012. https://repositorio.ufu.br/handle/123456789/14706.

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Fundação de Amparo a Pesquisa do Estado de Minas Gerais<br>Several studies have investigated the properties of the workspace of opened robotic chains (or serial) with the purpose of emphasizing its geometric and kinematic characteristics, to devise analytical algorithms and procedures for its design. The workspace of a robot manipulator is considered of great interest from theoretical and practical viewpoint. In classical applications in industry, manipulators need to pass through singularities in the joint space to change their posture. A 3-DOF manipulator can execute a non-singular change of

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Jiang, Yi-Syuan, and 江倚瑄. "Topology Optimization of a Load Cell via a Multi-objective Genetic Algorithm." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/37469397528422536759.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>104<br>A load cell for measuring the lift force generated by flapping wings of an insect must have a high fundamental frequency and low stiffness to meet the stringent precision requirements. This thesis aims to design a load cell that can record the waveform of the lift of an insect accurately. Starting from a rectangular shape with specified material properties, a multi-objective genetic algorithm, called NSGA-II, is employed to find the optimal shape of the load cell. A finite element analysis program is developed to determine the values of the objective function

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Tsai, Chih-Chieh, and 蔡至捷. "Topology Optimization of a Load Cell via a Multi-objective Particle Swarm Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9uup2e.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>106<br>A good load cell should have a wide band-width and large flexibility to meet the demand of high resolution. It’s very difficult to satisfy these two conflicting demands. This research aims to find a proper design, thorough topology optimization, of a load cell possessing both proper band-width and flexibility. The load cell studied in this thesis is a planar frame. The position of every joint and cross-section area of each rod are used as design variables. The objective functions are the fundamental frequency and the static deflection at the free end of the s

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Kang, Yu-Chia, and 康祐嘉. "An Integrated Method of Moving Asymptotes and Fuzzy Theory for Multi-objective Topology Optimization." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/71101397953729470644.

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碩士<br>淡江大學<br>航空太空工程學系碩士班<br>100<br>An integrated method of moving asymptotes and fuzzy theory for multi-objective topology optimization is developed in this study. The finite element analysis software ANSYS is used for structural analysis. By using the method of material distribution with method of moving asymptotes, the optimum topology design of structure is obtained. In this paper, the multi-objective optimization problem transfer to single optimization problem by utilizing the concept of the fuzzy theory, which is using membership function and intersection set of decision-making. After im

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Book chapters on the topic "Multi-objective topology optimization"

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Najafabadi, Hossein R., Tiago G. Goto, Thiago C. Martins, Ahmad Barari, and Marcos S. G. Tsuzuki. "Multi-objective Topology Optimization Using Simulated Annealing Method." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63403-2_31.

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Giusti, Sebastián Miguel, and Antonio André Novotny. "Multi-objective Topology Optimization Design of Micro-structures." In Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-04265-7_2.

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Munk, David J., Gareth A. Vio, Grant P. Steven, and Timoleon Kipouros. "Producing Smart Pareto Sets for Multi-objective Topology Optimisation Problems." In Advances in Structural and Multidisciplinary Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67988-4_10.

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Munk, David J., Timoleon Kipouros, and Gareth A. Vio. "A Generalized SNC-BESO Method for Multi-objective Topology Optimization." In EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97773-7_1.

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Xiang, Cheng, Airong Chen, Dalei Wang, and Rujin Ma. "Real-time multi-objective topology optimization method via deep learning." In Bridge Maintenance, Safety, Management, Digitalization and Sustainability. CRC Press, 2024. http://dx.doi.org/10.1201/9781003483755-246.

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Xu, Jianan, Xin Gao, and Dongyue Qu. "Multi-objective Topology Optimization for Supporting Plate of Winch Drum Spindle." In Advances in Mechanical Design. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6553-8_27.

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Denk, Martin, Klemens Rother, Emir Gadzo, and Kristin Paetzold. "Multi-Objective Topology Optimization of Frame Structures Using the Weighted Sum Method." In Proceedings of the Munich Symposium on Lightweight Design 2021. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65216-9_8.

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Arjun, V., A. Arun Thiyagarajan, S. Mohanraj, M. Kalayarasan, V. Prabhu Raja, and M. Thivagar. "Multi-objective Topology Optimization of Steel Reinforcement for Epoxy Granite VMC Column." In Advances in Simulation, Product Design and Development. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4556-4_28.

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Liu, Linhui, and Yicang Huang. "Multi-objective and Multi-load-Conditions Topology Optimization Model for Designing Metamaterial Vibration Isolator with Customized Stiffness." In Computational and Experimental Simulations in Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-44947-5_14.

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Zăvoianu, Alexandru-Ciprian, Gerd Bramerdorfer, Edwin Lughofer, and Susanne Saminger-Platz. "Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings." In Computer Aided Systems Theory – EUROCAST 2017. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74718-7_40.

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Conference papers on the topic "Multi-objective topology optimization"

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Lucchini, F., R. Torchio, and P. Alotto. "Gradient-Informed Weighted Sum Multi-Objective Topology Optimization in Electromagnetics." In 2024 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2024. http://dx.doi.org/10.1109/iceaa61917.2024.10701633.

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Malhotra, Akanksha, Shailesh Yadav, Rishabh Jain, and Ravi Yadav. "Multi-Objective Optimization of Cyber-Topology Attacks in Power Systems." In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10718045.

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Han, Kai, Bingbing Xu, Marie Siew, Wenbin Gong, Tony Q. S. Quek, and Qianyi Ren. "Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901675.

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Ma, Jiqing, Quan Zheng, Huasen He, Yunpeng Hou, Yue Ren, and Yuanlong Wan. "A Hybrid Particle Swarm Optimization Algorithm for Multi-Objective UAV Swarm Topology Shaping." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941768.

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Chu, Xu-yang, Hui-huang Xu, Gui-fang Shao, and Wei-feng Zheng. "Multi-objective topology optimization for industrial robot." In 2016 IEEE International Conference on Information and Automation (ICIA). IEEE, 2016. http://dx.doi.org/10.1109/icinfa.2016.7832132.

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Olympio, Kingnide, and Farhan Gandhi. "Skin Designs Using Multi-Objective Topology Optimization." In 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
16th AIAA/ASME/AHS Adaptive Structures Conference
10t. American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-1793.

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Huang, Yuhao, Yifan Shi, Zane Morris, Mira Teoli, Daniel Tameer, and Il Yong Kim. "Multi-Material and Multi-Objective Topology Optimization Considering Crashworthiness." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2262.

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<div class="section abstract"><div class="htmlview paragraph">Recently, topology optimization (TO) has seen increased usage in the automotive industry as a numerical tool, greatly enhancing the accessibility and production-readiness of optimal, lightweight solutions. By natural extension of classic single material TO (SMTO), a wealth of research has been completed in multi-material TO (MMTO), enabling simultaneous determination of material selection and existence. MMTO is effective for linear static analyses, making use of structural responses that are continuously differentiable,

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Streichert, Thilo, Christian Haubelt, and Jurgen Teich. "Multi-Objective Topology Optimization for Networked Embedded Systems." In 2006 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation. IEEE, 2006. http://dx.doi.org/10.1109/icsamos.2006.300814.

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Turevsky, Inna, and Krishnan Suresh. "Tracing the Envelope of the Objective-Space in Multi-Objective Topology Optimization." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47329.

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In multi-objective problems, one is often interested in generating the envelope of the objective-space, where the envelope is, in general, a superset of pareto-optimal solutions. In this paper, we propose a method for tracing the envelope of multi-objective topology optimization problems, and generating the corresponding topologies. The proposed method exploits the concept of topological sensitivity, and is applied to bi-objective optimization, namely eigenvalue-volume, eigenvalue-eigenvalue and compliance-eigenvalue problems. The robustness and efficiency of the method is illustrated through

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Hatzakis, Iason, and David Wallace. "Topology of Anticipatory Populations for Evolutionary Dynamic Multi-Objective Optimization." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7071.

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