基于遗传算法的补偿滑轮组变幅机构多目标模糊优化
For work feature of tackle-block mechanism compensating amplitude of variation on machinery lifting, using traditional mono-objective optimization and numerical solution on design of the mechanism, the optimum result can not satisfy the requirement of economy and stability in the meantime and is not...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2003-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2003.01.011 |
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| Summary: | For work feature of tackle-block mechanism compensating amplitude of variation on machinery lifting, using traditional mono-objective optimization and numerical solution on design of the mechanism, the optimum result can not satisfy the requirement of economy and stability in the meantime and is not accurate enough. Based on that, multi-objective optimum design and genetic algorithm are applied, objective function comprehensive embodying stability and economy of the mechanism is established and evaluative function is raised by fuzzy theory. The technical indicators of multi-objective optimum result on the example are improved in comparison with those of Sun’s book. |
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| ISSN: | 1004-2539 |