改进型蚁群算法在内燃机径向滑动轴承优化设计中的应用

运用改进型蚁群算法，在最大限度地满足液体动力润滑径向滑动轴承的承载量系数值，以达到滑动轴承承载能力的前提下，对内燃机径向滑动轴承进行了优化设计，计算机仿真结果证明：优化后的轴承孔直径、轴径直径、轴承宽度、承载量系数等参数都符合实际工艺要求，且优化结果明显优于遗传算法的优化结果，从而表明了改进型蚁群算法是一种切实有效的优化算法，该算法为内燃机的各种优化设计问题提供了新的思路和方法。

Application of Improved Ant Colony Algorithm to Optimization of Radial Bearing in Internal Combustion Engine

To satisfy the maximum Cp of radial bearing in an internal combustion engine so as to reach the optimization of radial bearing is practical. The optimized parameters including the inside diameter, shaft diameter, width and Cp can meet the requirements of practical production technology. And the algorithm is more efficient than the genetic algorithm does. It also gives a new way for solving similar internal combustion engine optimization problems.