Abstract
Multidisciplinary optimum designs have been of strong interest lately in many fields. A unified multidisciplinary optimum design method by utilizing the genetic algorithms is presented in this study. The design process is modeled there by a distributed hierarchical system to simulate ordinary design processes. Each level is optimized by genetic algorithms somewhat independently but some information is transmitted to the upper or the lower level. Engineering analysis can also be involved in a certain level. The proposed method is then applied to simple examples of preliminary designs of cars and numerical results show the effectiveness of the method.
| Original language | English |
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| Title of host publication | American Society of Mechanical Engineers, Design Engineering Division (Publication) DE |
| Place of Publication | New York, NY, United States |
| Publisher | ASME |
| Pages | 329-334 |
| Number of pages | 6 |
| Volume | 69-2 |
| Publication status | Published - 1994 |
| Event | Proceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA Duration: 1994 Sept 11 → 1994 Sept 14 |
Other
| Other | Proceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) |
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| City | Minneapolis, MN, USA |
| Period | 94/9/11 → 94/9/14 |
ASJC Scopus subject areas
- Engineering(all)