基于混合退火遗传算法的圆柱蜗杆传动模糊优化设计

Abstract

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.