| id |
ijac20109203 |
| authors |
Martini, Kirk |
| year |
2011 |
| title |
Optimization and parametric modelling to support conceptual structural design |
| source |
International Journal of Architectural Computing vol. 9 - no. 2, 151-166 |
| summary |
The paper describes software combining parametric geometric modeling with a version of the harmony search method, modified to support multimodal structural optimization. Researchers have recognized the potential of population-based optimization methods, such as genetic algorithms, to support multimodal optimization: that is, generating a diverse range of good alternative solutions, rather than a single best solution. Among these methods is the harmony search method, which has been demonstrated to be efficient in many unimodal structural optimization problems. The paper describes a new version of the harmony search method, implemented as an assembly within Bentley's Generative Components, enabling high-level control of geometry. The new method is demonstrated on an bridge supported by two inclined parabolic arches, a structure where GC controls a complex geometry with a single variable. Comparative studies of the example find that the new method is more effective than conventional harmony search in consistently finding multiple good solutions. |
| series |
journal |
| full text |
 file.pdf (311,339 bytes) |
| references |
Content-type: text/plain
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| last changed |
2019/05/24 09:55 |
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