中文摘要：

为提高动力头传动机构优化设计质量，采用k次均方包络函数简化及平滑多约束条件并采用惩罚函数法将多约束转化为无约束形式，依据不同集成优化方式对液压土锚钻机动力头传动机构进行优化求解。由求解结果对比分析可知，采用遗传算法集成混沌优化方法在求解过程中易跳出局部极值而获得全局最优解，在求解精度及优化计算效率方面明显好于遗传算法集成模拟退火优化方法及传统遗传优化算法，表明该遗传算法集成混沌优化方法是求解大规模非线性多约束优化问题的一种有效手段。

英文摘要：

In order to improve the design quality of the transmission mechanism of a driving nead we present an integrated optimal method for optimizing the transmission mechanism of a driving head. The driving head of a hydraulic drill for underground anchorage is designed by means of different integrated optimal method. We adopt k mean-square-root envelope function to reduce and smooth multi-constraints, and penalty function method to transform multi-constraints into the model without constraint. Comparison and analysis indicates that adopting genetic algorithm to integrate chaotic optimization method has advantages of higher computing efficiency and design accuracy. This integrated method is a powerful technique to solve large scale nonlinear programming problems.