Development of genetic algorithm based approach for structural optimisation
This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for th...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/10356/19438 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for the least-weight design of discrete structures subject to structural performance constraints related to member allowable stress, joint displacement and member buckling computed via finite element analysis. The cross-sectional areas, location and topology of the structural members are described by the sizing, geometric and topological variables respectively. |
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