Open Access
Volume 41, Number 4, August 2023
Page(s) 722 - 731
Published online 08 December 2023
  1. WEI F, ZHANG L, YANG S, et al. A multiobjective evolutionary algorithm based on coordinate transformation[J]. IEEE Trans on Cybernetics, 2018, 49: 2732 [Google Scholar]
  2. LIU Guoqiang, CHEN Weiyi, CHEN Huadong, et al. Multi-objective optimization of artillery recoil mechanism based on the chaotic quantum particle swarm optimization algorithm[J]. Journal of Harbin Engineering University, 2020, 41(5): 655–660 [Article] (in Chinese) [Google Scholar]
  3. ZHANG Yuntao, LI Yinong, ZHANG Zhida, et al. Multi objective optimization of an asymmetric transmission spindle based on improved particle swarm optimization[J]. Journal of Vibration and Shock, 2022, 41(2): 130–139 [Article] (in Chinese) [Google Scholar]
  4. SU Yu, TANG Hesheng, XUE Songtao, et al. Approach of non-probabilistic reliability topology optimization using evidence theory[J]. Scientia Sinica Technologica, 2019, 49(3): 320–330 [Article] (in Chinese) [CrossRef] [Google Scholar]
  5. ZHANG Z, JIANG C, RUAN X X, et al. A novel evidence theory model dealing with correlated variables and the corresponding structural reliability analysis method[J]. Structural and Multidisciplinary Optimization, 2018, 57: 1749–1764 [Article] [CrossRef] [Google Scholar]
  6. WANG Ju. Evidence-based reliability design optimization and its application in automobile lightweight[D]. Changsha: Hunan University, 2019 (in Chinese) [Google Scholar]
  7. LIU Xin, GONG Min, ZHOU Zhenhua, et al. An efficient mechanical structure reliability analysis method based on evidence theory[J]. China Mechanical Engineering, 2020, 31(17): 2031–2037 [Article] (in Chinese) [Google Scholar]
  8. HUANG Z L, JIANG C, ZHANG Z, et al. A decoupling approach for evidence-theory-based reliability design optimization[J]. Structural and Multidisciplinary Optimization, 2017, 56(1): 647–661 [CrossRef] [Google Scholar]
  9. LI D W, TANG H S, XUE S T, et al. Adaptive sub-interval perturbation-based computational strategy for epistemic uncertainty in structural dynamics with evidence theory[J]. Probabilistic Engineering Mechanics, 2018, 53: 75–86 [Article] [CrossRef] [Google Scholar]
  10. YU Juntao, DENG Wei, WANG Ju, et al. An Evidence-theory-based reliability design optimization method using approximate shifting vector[J]. Journal of Hunan University, 2021, 48(8): 59–67 [Article] (in Chinese) [Google Scholar]
  11. ROBIC T, FILIPIC B. DEMO: differential evolution for multiobjective optimization[J]. Evolutionary Multi-Criterion Optimization, 2005, 3410: 520–533 [CrossRef] [Google Scholar]
  12. SRIVASTAVA R K, DEB K, TULSHYAN R. An evolutionary algorithm based approach to design optimization using evidence theory[J]. Journal of Mechanical Design, 2013, 135(8): 1–12 [Google Scholar]
  13. 中华人民共和国建设部. 木结构设计规范[S]. GB50005-2003, 2003 [Google Scholar]
  14. Wood structure design manual editorial committee. Wood structure manual. 3rd edition. Beijing: China Architecture & Building Press, 2005 (in Chinese) [Google Scholar]
  15. SALEHGHAFFARI S, RAIS-ROHANI M, MARIN E B, et al. Optimization of structures under material parameter uncertainty using evidence theory[J]. Engineering Optimization, 2013, 45(9): 1027–1041 [CrossRef] [Google Scholar]

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