基于复合—遗传算法斜齿轮减速器优化设计

Optimal design for helical-spur gear reducer based on complex-genetic algorithm

针对标准复合形算法在设计变量较多时容易陷入局部最优的缺点,提出了复合形—遗传算法.建立了两级斜齿圆柱齿轮减速器的结构参数优化模型,并开发了相应的计算程序.以齿轮中心距之和为优化目标,在所确定的约束条件下,采用复合形—遗传算法对两级斜齿圆柱齿轮减速器进行结构参数优化设计.结果表明,减速器原方案并不是最优方案,尚有较大的优化空间,同时优化结果也证明该优化设计方法的可行性.

The complex-genetic algorithm was developed based on the standard complex algorithm which can bring about the localized optimization in the event of too many design parameters. The models were founded for the purpose of the structure parameters calculation of the two-grade helical-spur gear reducer. The corresponding codes were also developed by the authors. The design optimization of the two-grade helical-spur gear reducer, aiming at minimization of the sum of the gear center-distance, was carried out with the self-developed complex-genetic algo- rithm. The results show that the reference gear reducer design is far from the best scheme. In addition, the results also verify the feasibility of the complex-genetic algorithm.