遗传算法在弹簧有效质量测定中的应用

Application of Genetic Algorithm in the Measure of the Effective Mass of the Spring

在气垫导轨上组装一弹簧振子简谐振动系统,根据实验数据利用遗传算法确定弹簧的有效质量,并与理论值进行比较。结果表明利用遗传算法拟合弹簧振子振动周期的实验数据,不但可以得到高精度的弹簧有效质量及其理论系数,从而加深对物理理论的理解,而且有利于培养学生的综合研究能力和科学探索精神。

A simple harmonic vibration system is set up on the air - cushion slideway. The effective mass value of the spring vibrator based on the experimental result are processed with genetic algorithm and compared with the theoretical one. It is shown that, by using genetic algorithms to simulate the experimental data of vibration period, the high- precision theoretical coefficient of spring effective mass is attained so as to help students thoroughly understand the relative physical theory, and it＇s beneficial to cultivate the students＇ integrate research ability and the exploration spirits.