超弹性, 遗传算法(GA), 蚁群算法(ACA), 融合, 反问题分析, 参数识别

A new hybrid algorithm was introduced constructing the hyperelastic material constitutive model based on combination of genetic algorithm and ant colony algorithm optimization strategy to analyze the reverse problems. The least-square method was adopted to minimum the difference between the simulation values and target values. The new algorithm employs ACA features, GA crossover and mutation evolutionary strategy to improve features of the global search. At the same time the algorithm was compared with GA, showing a better accuracy. The final results of the example herein also show that the algorithm has certain practicality in real engineering applications.