Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms
This paper proposes the design of trusses using simultaneous topology, shape, and size design variables and reliability optimization. Objective functions consist of structural mass and reliability, while the probability of failure is set as a design constraint. Design variables are treated to simult...
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| Veröffentlicht in: | Engineering with computers 2019-04, Vol.35 (2), p.721-740 |
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| creator | Techasen, Teerapol Wansasueb, Kittinan Panagant, Natee Pholdee, Nantiwat Bureerat, Sujin |
| description | This paper proposes the design of trusses using simultaneous topology, shape, and size design variables and reliability optimization. Objective functions consist of structural mass and reliability, while the probability of failure is set as a design constraint. Design variables are treated to simultaneously determine structural topology, shape, and sizes. Six test problems are posed and solved by a number of multi-objective evolutionary algorithms, and it is found that Hybridized Real-Code Population-Based Incremental Learning and Differential Evolution is the best performer. This work is considered an initial study for the combination of reliability optimization and simultaneous topology, shape, and sizing optimization of trusses. |
| doi_str_mv | 10.1007/s00366-018-0629-z |
| format | Article |
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Objective functions consist of structural mass and reliability, while the probability of failure is set as a design constraint. Design variables are treated to simultaneously determine structural topology, shape, and sizes. Six test problems are posed and solved by a number of multi-objective evolutionary algorithms, and it is found that Hybridized Real-Code Population-Based Incremental Learning and Differential Evolution is the best performer. 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| subjects | CAE) and Design Calculus of Variations and Optimal Control Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Design optimization Evolutionary algorithms Genetic algorithms Machine learning Math. Applications in Chemistry Mathematical analysis Mathematical and Computational Engineering Multiple objective analysis Original Article Reliability engineering Structural reliability Systems Theory Topology optimization Trusses |
| title | Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms |
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