基于整数编码遗传算法改进的起重机主梁优化

Crane girder optimization based on improved integer coding genetic algorithm

轻量化是起重机的发展趋势之一,利用优化技术减轻主梁质量是其关键而有效的方法之一。首先,综合考虑主梁设计模型中变量的离散性与连续性以及各类约束,对传统主梁优化模型进行了补充与改进;然后,对传统的整数编码遗传算法进行了改进,保留了选择、交配、变异操作产生的群体,扩大了搜索空间,能够处理新的主梁优化模型中设计变量取值区间不同、变量间有约束的情况;最后,以浙江省某企业的QD型起重机为实例,利用改进的整数编码遗传算法对主梁进行了优化求解,同时通过与现有算法的比较,优化模型的有效性和算法的收敛稳定性得到了验证。

Lightweight is one of the development trends for crane, while reduction of girder weight by optimization technology is one of critical and effective methods. Firstly, by comprehensively considering the continuous and discrete de- sign variables and other constraints in the girder design model, traditional girder optimization model is compensated and im- proved. Secondly, the integer coding genetic algorithm was improved, which can keep groups produced by choosing, mat- ing and variation, expand solution searching space and deal with the problem that design variables have different interval and constraints. Finally, the optimization model and the improved genetic algorithm are used in an instance of crane girder in a company of Zhejiang province, and also, the improved algorithm is discussed and compared with the algorithms men- tioned in literatures, which is proved effective and of convergence stability.