基于混合退火遗传算法的圆柱蜗杆传动模糊优化设计

针对基本遗传算法在优化设计中遇到的局部搜索能力不强、早熟收敛等问题,提出一种将模拟退火、Powell搜索方法与遗传算法相结合的混合遗传算法.在此基础上对普通圆柱蜗杆传动模糊优化设计进行了研究;数值计算表明,该混合退火遗传算法可以有效地克服基本遗传算法的上述缺陷,可以加速算法的收敛,具有良好的优化性能.并用该算法较好地解决了普通圆柱蜗杆传动的模糊优化设计.

Fuzzy Optimization of Worm Drive based on Hybrid Annealing Genetic Algorithm

The limitations of the primary genetic algorithm applied to practice are discussed, including poor local search ability, premature convergence etc. A hybrid annealing genetic algorithm is developed by combination of simulated annealing and powell searching method with genetic algorithm. Case studies on typical test functions show that the hybrid annealing genetic algorithm is efficient and reliable, and completes perfectly the Fuzzy optimization design of worm drive.