研究了一种基于人工免疫算法的快速机构轨迹综合方法,分析了直接综合方法和间接综合方法的优缺点,提出了二次分类和二次检索以实现快速机构轨迹综合的新思路;给出了基于人工免疫聚类和多峰优化算法的快速机构轨迹综合算法流程,基于该算法建立了机构轨迹综合原型系统,并通过实例对算法及原型系统的有效性进行了验证,这种快速算法具有求解速度快、简单易实现及解的差异性等特性.
The advantages and shortcomings of direct synthesis and indirect methods were analyzed. The idea of double classification and double matching is proposed to speed up synthesis process. The flow of the rapid mechanisms path synthesis method, which is based on artificial immune network algorithms used for clustering and multimodal optimization, is proposed. On the basis of the rapid approach, a prototype system was constructed. Path synthesis examples were provided to verify the validity of the algorithms and corresponding prototype system. This algorithm is characterized by high speed, simplicity in implementation and diversity of solutions.