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- Title
EVIDENCE-BASED OPTIMUM DESIGN OF TRUSSES USING A DIFFERENTIAL EVOLUTION SOLUTION.
- Authors
YU SU; HESHENG TANG; SONGTAO XUE; YANG LI
- Abstract
In this research uncertainty quantification (UQ) using evidence theory in optimum design subject to epistemic uncertainty is undertaken. The constraints posed in the optimum design problem are evaluated using plausibility measure provided by evidence theory as a surrogate modal of traditional probability constraints. In order to alleviate the computational difficulties in the evidence theory based UQ analysis, an improved differential evolution (DE) based interval optimization for computing bounds method is developed. Furthermore, the DE approach is used to drive the evidence-based optimum design process. The methodology is illustrated in application to truss shape and sizing optimum design problems.
- Subjects
DIFFERENTIAL evolution; TRUSSES; EPISTEMIC uncertainty; DESIGN
- Publication
Academic Journal of Manufacturing Engineering, 2020, Vol 18, Issue 4, p53
- ISSN
1583-7904
- Publication type
Article