An improved hybrid immune algorithm for mechanism kinematic chain isomorphism identification in intelligent design

2014 ◽  
Vol 19 (1) ◽  
pp. 217-223 ◽  
Author(s):  
Ping Yang ◽  
Kehan Zeng ◽  
Chunquan Li ◽  
Jianming Yang ◽  
Shuting Wang
2011 ◽  
Vol 201-203 ◽  
pp. 2182-2185
Author(s):  
Miao Zhang ◽  
Ning Bo Liao ◽  
Chen Zhou ◽  
Xi Tao

When using graph theory to conduct intelligent design for kinematic structure enumeration, the isomorphism identification of graphs is an important and complicated problem. In this paper, the methodology of transferring isomorphism identification into optimization issue was introduced. Then the recent development of applying advanced optimal methods for isomorphism identification was reviewed, the advantages and disadvantages of there methods were discussed.


Author(s):  
Huijun Yi ◽  
Jianpei Wang ◽  
Yongle Hu ◽  
Ping Yang

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.


2002 ◽  
Vol 37 (4) ◽  
pp. 411-417 ◽  
Author(s):  
Zongyu Chang ◽  
Ce Zhang ◽  
Yuhu Yang ◽  
Yuxin Wang

2007 ◽  
Vol 26 (2) ◽  
pp. 133-143 ◽  
Author(s):  
Gloria Galan-Marin ◽  
Enrique Merida-Casermeiro ◽  
Domingo Lopez-Rodriguez

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