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Publication
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| Title of Article |
Multiobjective Simultaneous Topology, Shape and Sizing Optimization of Trusses Using Evolutionary Optimizers |
| Date of Acceptance |
22 May 2018 |
| Journal |
| Title of Journal |
IOP Conference Series: Materials Science and Engineering |
| Standard |
SCOPUS |
| Institute of Journal |
IOP Publishing Ltd |
| ISBN/ISSN |
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| Volume |
2018 |
| Issue |
370 |
| Month |
June |
| Year of Publication |
2018 |
| Page |
012029 |
| Abstract |
This paper presents design of two-dimensional (2D) trusses to achieve their simultaneously optimal topology, shape and size. The optimization problems are posed to search for structural topology, shape and sizing such that multiobjective functions consisting of mass and compliance are minimized while stresses and displacements are assigned as design constraints. The design approach is based on a ground structure approach meaning that a structure having all possible truss element connection is initiated. Design variables determine how to remove or maintain those elements and at the same time nodal positions are varied. Truss optimization problems are assigned whereas a number of multiobjective evolutionary algorithms (MOEAs) are implemented to solve the problems. Based on the hypervolume indicator, it is found that Hybridization of Real-Code Population Based Incremental Learning and Differential Evolution (RPBIL-DE) is the best performer. This study gives the baseline results for implementing MOEAs for simultaneous topology, shape and sizing optimization of trusses. |
| Keyword |
Two-Dimensional Truss, Multiobjective Evolutionary Algorithms, Pareto dominance, Automate design of truss |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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