基于新型蚂蚁算法的传动方案优化设计研究

Mechanical transmission scheme optimal design based on a new ant algorithm

针对复杂机械产品传动方案的优化设计问题,提出了一种融合模拟退火算法的新型蚂蚁算法。该算法改进了蚂蚁算法中信息素的初值设置和信息素更新模型,探讨了新型蚂蚁算法的融合思想和设计依据,建立了基于新型蚂蚁算法的传动方案的优化设计过程模型。该方法能尽快搜索到较理想的下降方向,提高了蚂蚁算法的收敛速度,同时克服了模拟退火算法要求初始温度足够高,收敛速度缓慢的缺陷。具体应用表明了该方法是可行的。

To solve the problems of transmission scheme optimization for complex mechanical products, a new ant algorithm combined the simulated annealing algorithm was put forward. The initial value setting of pheromone and update pheromone model of ant algorithm were improved. Commingled thoughts and design rules for the new ant algorithm were discussed. Process model of transmission scheme optimization design based on the new ant algorithm was also constructed. By using the method, the ideal searching direction of global optimal solution could be found as soon as possible and the convergence speed of ant algorithm was also improved, while the shortcomings of high initial temperature required and slow convergence speed of simulated annealing algorithm were also overcame. Application revealed the feasibility of this method.