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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haobin Xie Feng Liu Lijuan Li |
| Copyright Year | 2009 |
| Abstract | In this paper, a novel optimization algorithm, named group search optimizer (GSO) with two improvements, is used to truss structure topology optimization. And the improved methods are using harmony memory and adhering to the boundary which can improve the algorithm obviously. Then a simple and effective topology method, discretization of topology variables is incorporated with improved GSO to make sure that the topology optimization works well. In the end of the paper, two topology optimal models, a planar truss and a spatial truss, are used to test this topology methods based on the improved GSO. The results show that the method with improved GSO is feasible and robust for truss topology optimization. |
| Starting Page | 244 |
| Ending Page | 248 |
| File Size | 358076 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424454112 |
| e-ISBN | 9781424454129 |
| DOI | 10.1109/CIS.2009.102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Truss GSO Biological system modeling Optimization methods Transportation Topology method Topology Security History Group search optimizer Design optimization Topology optimization Robustness Computational intelligence Testing |
| Content Type | Text |
| Resource Type | Article |
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