The aim of this paper is to propose a practical solution for mechanism kinematic chain isomorphism identification – an artificial fish swarm algorithm. The artificial fish model of mechanism isomorphism identification is established, and behavioral way of the artificial fish is designed. According to isomorphism identification features of topological graph, the process of mechanism isomorphism identification based on artificial fish swarm algorithm is confirmed. The rationality and reliability of artificial fish swarm algorithm on the isomorphic identification of mechanism have been illustrated by a specific example, which provides a new method for intelligent CAD system design of mechanism. It builds a basis for future work in isomorphism identification of mechanism with high efficiency. Isomorphic identification of mechanism will contribute to rational qualitative analysis of mechanism design, perfection of irrationality can be done timely, which is the key factor for mechanical manufacturing. In this paper, we introduce the mechanism kinematic chain firstly, then optimization of artificial fish swarm algorithm is illustrated, and it is shown that how fish swarm algorithm is applied to mechanism kinematic chain. Finally, the feasibility and efficiency of the method are verified by the example of 10 bars, and the complex mechanism can be identified by the example of 14 bars and 18 bars.

本文的目的是为机制运动学链同态识别提出一种实用的解决方案-一种人工鱼群算法。建立了机理识别同质性的人工鱼模型，设计了人工鱼的行为方式。根据拓扑图的同构识别特征，确定了基于人工鱼群算法的机理同构识别过程。通过具体实例说明了人工鱼群算法在机构同构辨识中的合理性和可靠性，为机构智能CAD系统设计提供了一种新方法。为今后高效识别机制同构奠定了基础。机构的同构识别将有助于对机构设计进行合理的定性分析，可以及时完成不合理性的完善，这是机械制造的关键因素。本文首先介绍了机理运动学链，然后说明了人工鱼群算法的优化，并说明了鱼群算法如何应用于机理运动学链。最后，以10bar为例验证了该方法的可行性和有效性，并以14bar和18bar为例确定了复杂的机理。然后说明了人工鱼群算法的优化，并说明了鱼群算法如何应用于机构运动链。最后，以10bar为例验证了该方法的可行性和有效性，并以14bar和18bar为例确定了复杂的机理。然后说明了人工鱼群算法的优化，并说明了鱼群算法如何应用于机构运动链。最后，以10bar为例验证了该方法的可行性和有效性，并以14bar和18bar为例确定了复杂的机理。