基于改进自适应遗传算法的圆锥滚子轴承优化设计

Optimal Design of Taper Roller Bearing Based on Improved Adaptive Genetic Algorithm

建立了圆锥滚子轴承优化模型。根据种群适应度的集中程度,设计了改进的自适应交叉概率和变异概率来调整整个种群的交叉概率和变异概率,提出了一种基于种群适应度集中程度改进的自适应遗传算法,并将改进的自适应遗传算法应用于圆锥滚子轴承优化设计。计算实例表明该方法高效可行,优化结果可直接作为工程设计的参考。

The optimal design model of taper roller bearing was presented. According to the concentrating degree of fitness of the populations, a kind of adaptive crossover probability and mutation probability were designed, which were used for adjustment for the crossover probabilities and mutation probabilities of the whole populations. An improved adaptive genetic algorithm was developed. The developed adaptive genetic algorithm was applied for optimal design of taper roller bearing. Actual calculation shows that the method is feasible and efficient and the optimal results can be served as reference to engineering design.