| 滑动轴承的多目标优化设计 |
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| 引用本文： | 刘雪美,李进京,李光提,郭炳辉.滑动轴承的多目标优化设计[J].农机化研究,2002(3):97-99. |
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| 作者姓名： | 刘雪美 李进京 李光提 郭炳辉 |
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| 作者单位： | 山东农业大学,机械电子学院,山东,泰安,271018 |
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| 摘 要： | 滑动轴承的多目标优化设计是一个多峰函数优化问题，用传统确定性的计算式方法容易陷入局部最优解。为达到全局优化的目的，采有改进遗传算法进行优化。首先给出了以最佳承载能力和工作状态为优化目标的优化模型，然后描述一种改进遗传算法的实现，并将之应用于滑动轴承的优化设计。此方法对求解同类零件优化设计问题具有普遍意义。
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| 关 键 词： | 滑动轴承 多目标优化设计 改进遗传算法 |
| 文章编号： | 1003-188X(2002)03-0097-03 |
| 修稿时间： | 2001年12月18 |
Multiobject Optimization Design of Sliding Bearing |
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| LIU Xue-mei,LI Jin-jing,LI Guang-ti,GUO Bing-hui.Multiobject Optimization Design of Sliding Bearing[J].Journal of Agricultural Mechanization Research,2002(3):97-99. |
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| Authors: | LIU Xue-mei LI Jin-jing LI Guang-ti GUO Bing-hui |
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| Abstract: | Multiobject optimization dosign of sliding bearing is a problem of multipeak fuction optimization. Conventional doubtless methods always run into partial optimization solution. In oder to realize all-sided optimization, a improved genetic arithmetic be adopted. First, give a optimization model which optimization object are best carring capacity and working state. Then discribe a realization of a improved genetic arithmetic. It is applized in optimization designiny of sliding bearing. It is universal significance designing of sliding bearing. It is universal significance for resolring optimization design of similar parts. |
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| Keywords: | Multiobject Optimization Improved genetic arithmetic Sliding bearing Optimization design |
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