CAJ | 학술논문

文章建立了以降低润滑油流量为目标的动压滑动轴承优化设计模型 ,应用遗传算法对该模型进行优化 ;研究了遗传算法中位串长度、种群个体数、进化代数和变异概率4个主要参数对动压滑动轴承优化设计的影响 ,并提出了根据约束条件的数量确定合适的变异概率 ,根据优化模型自身特点和约束条件的复杂程度确定合适的位串长度、种群个体数和变异概率 ,根据种群收敛的情况确定合适的进化代数.算例表明 ,文中提出的动压滑动轴承遗传算法优化设计中参数的选择确定方法是合理的 ,可以拓展到基于遗传算法进行优化设计的其他领域.
문장건립료이강저윤활유류량위목표적동압활동축승우화설계모형 ,응용유전산법대해모형진행우화 ;연구료유전산법중위천장도、충군개체수、진화대수화변이개솔4개주요삼수대동압활동축승우화설계적영향 ,병제출료근거약속조건적수량학정합괄적변이개솔 ,근거우화모형자신특점화약속조건적복잡정도학정합괄적위천장도、충군개체수화변이개솔 ,근거충군수렴적정황학정합괄적진화대수.산례표명 ,문중제출적동압활동축승유전산법우화설계중삼수적선택학정방법시합리적 ,가이탁전도기우유전산법진행우화설계적기타영역.
The optimization design model of hydrodynamic journal bearing for reducing oil flow-rate was established and optimized by the genetic algorithms .The effects of the string length ,population size ,evolution generation and mutation probability in genetic algorithms on the optimization design of hydrodynamic journal bearing were researched .The appropriate mutation probability was determined based on the number of constraint condition ,the appropriate string length ,population size and muta-tion probability were determined based on the model characteristics and the complexity of constraint condition ,and the appropriate evolution generation was determined based on the situation of popula-tion convergence .The example result shows that the presented method to determine the parameter choice in the optimization design of hydrodynamic journal bearing based on genetic algorithms is rea-sonable and can be extended to other fields of optimization design based on genetic algorithms .