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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fan Qin-man Wu Yong-hai Luan Kun Wang Feng |
| Copyright Year | 2010 |
| Abstract | The quality of suspension helical spring is very important to the stationarity and safety of automobile. Taking the automobile suspension helical spring as the research object, by using Pareto optimization theory and particle swarm optimization algorithm, the paper establishes a multi-objective optimization model of automobile suspension helical spring which is based on the Matlab optimization design platform. The purpose is to seek for the optimal structure design proposal which is under the objective of maximum natural frequency and minimum quality of spring. The Pareto optimal solution set is obtained. |
| Starting Page | 219 |
| Ending Page | 222 |
| File Size | 361537 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424470815 |
| e-ISBN | 9781424470822 |
| DOI | 10.1109/ICIC.2010.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Pareto optimization Automobiles Proposals Particle swarm optimization Design optimization Vehicle safety particle swarm optimization(PSO) suspension spring Frequency multi-objective optimization Mathematical model Springs |
| Content Type | Text |
| Resource Type | Article |
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