An efficient global optimization algorithm has been developed by combining GA (genetic algorithm) and SA (simulated annealing). It is observed that the coupled optimization algorithm can converge faster than each single algorithm. It is applied for the design optimization of damper coil springs that absorb the torsional impact and vibration imposed on the clutch of an automatic transmission. Additionally, an user friendly computer program is developed in order to design various types of torque converter damper springs automatically. Dynamic characteristics and torque capacity of damper springs varies according to a spring constant that depends on a wire diameter, a coil diameter, the number of turns, a coil length, etc. The torque variation according to the spring constant characteristics of a curved compressive coil spring is calculated and compared with that of a straight one using the coupled simulated annealing and genetic algorithm.

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汽车锁止离合器压缩曲线阻尼器弹簧的GA-SA耦合优化算法及应用

通过组合遗传算法（GA）和模拟退火（SA），开发了一种高效的全局优化算法。可以看出，耦合优化算法的收敛速度比每个单个算法都快。它用于减震器螺旋弹簧的设计优化，可吸收自动变速器离合器上的扭转冲击和振动。另外，开发了用户友好的计算机程序，以自动设计各种类型的变矩器减震器弹簧。阻尼弹簧的动态特性和扭矩容量根据弹簧常数而变化，该弹簧常数取决于线径，线圈直径，匝数，线圈长度等。