Trusses, NP-completeness, and genetic algorithms
- Shannon Overbay(corresponding author),
- ,
- ,
- Aaron Brown,
- Peter Stackle
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Paper
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Abstract
The optimization of large trusses often leads to a nearly optimal solution, rather than a truly optimal design. In fact, the problem space for truss optimization grows exponentially with the size of the truss. Using the method of problem reduction, this paper demonstrates that truss optimization is in the set of NP-complete problems. Hence, the only practical techniques for solving the truss problem are heuristic in nature. Genetic algorithms provide a viable solution for large trusses. Copyright ASCE 2006.
Bibliographic Information
Output type
Research Output:
Contribution to conference
Paper
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Page 38 (1 page)Publication milestones
- Published - 2006
Publication status
Published - 2006
Publication IDs
- Scopus: 33845690455
