Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 민승재 | - |
dc.date.accessioned | 2022-12-05T05:10:55Z | - |
dc.date.available | 2022-12-05T05:10:55Z | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v. 385, article no. 114015, Page. 1-34 | en_US |
dc.identifier.issn | 0045-7825;1879-2138 | en_US |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0045782521003467?via%3Dihub | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/177938 | - |
dc.description.abstract | A novel multi-objective topology optimization method is developed by simultaneously considering the diversity and uniformity of the optimum solutions in the objective and design variable spaces. To guarantee the diversity of the solutions, a configuration-based clustering scheme is developed and applied to avoid similar designs. By clustering Pareto optimal designs during the optimization process, the searching region in the objective space is gradually reduced, and the time cost required for optimization can be decreased. Additionally, the uniformity of the solutions in the objective space is considered using an adaptive weight determination scheme. The results of the benchmark problems confirm that using the proposed method could reduce the time cost. Furthermore, the overall Pareto front and configuration of different designs are also explored. (C) 2021 Elsevier B.V. All rights reserved. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) under Grant 2018R1A2B6003222. | en_US |
dc.language | en | en_US |
dc.publisher | ELSEVIER SCIENCE SA | en_US |
dc.subject | Adaptive weight | en_US |
dc.subject | Clustering scheme | en_US |
dc.subject | Compromise programming method | en_US |
dc.subject | Multi-objective optimization | en_US |
dc.subject | Pareto front | en_US |
dc.subject | Topology optimization | en_US |
dc.title | Multi-objective topology optimization incorporating an adaptive weighed-sum method and a configuration-based clustering scheme | en_US |
dc.type | Article | en_US |
dc.relation.volume | 385 | - |
dc.identifier.doi | 10.1016/j.cma.2021.114015 | en_US |
dc.relation.page | 1-34 | - |
dc.relation.journal | COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | - |
dc.contributor.googleauthor | Ryu, Namhee | - |
dc.contributor.googleauthor | Seo, Minsik | - |
dc.contributor.googleauthor | Min, Seungjae | - |
dc.sector.campus | S | - |
dc.sector.daehak | 공과대학 | - |
dc.sector.department | 미래자동차공학과 | - |
dc.identifier.pid | seungjae | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.