中文摘要：

为提高复杂构件结构优化的约束处理效率，挖掘并利用优化过程中的深层次隐性约束知识，提出了一种基于文化算法双重进化思想的复杂构件结构智能优化约束表达与处理新方法。建立了层次式的约束知识表达模型，构建了以任务知识为指导的层次式智能约束处理机制，探讨了优化过程中深层次隐性约束知识的处理流程，实现了优化过程中约束知识的进化并指导了群体空间的不断进化。最后，以挖掘机动臂结构优化为例验证了所提方法的可行性与有效性。

英文摘要：

To improve the efficiency of handling the constraints for complex mechanical compo- nents as well as to extract and utilize the deep implicit constraint knowledge, a novel method of con- straint expression and handling for complex mechanical component structural optimization was pro- posed based on the dual evolution theory of cultural algorithm. A hierarchical constraint expression model was established and the hierarchical constraint intelligent handling mechanism was constructed with the guidance of task knowledge. Furthermore, the process for handling the deep implicit con- straint knowledge in optimal process was proposed to realize the evolution of implicit constraint knowledge so as to guide the evolution of population space. Finally,structural optimization of an exca- vator boom was taken as an example to demonstrate the feasibility and effectiveness of this method.