Title :
The optimization design of truss based on Ant Colony optimal Algorithm
Author :
Chen, Xiaojia ; Liu, Shuguang ; He, Shaohong
Author_Institution :
Sch. of Transp., Wuhan Univ. of Technol., Wuhan, China
Abstract :
An optimization method for a truss structure design using the Ant Colony Algorithm is presented in this paper. With the constraints of the truss stiffness, strength, allowing displacement and other design conditions, the Ant Colony Algorithm is implanted to the optimizing process of the truss structure using the program languages of MATLAB. Two typical trusses are used as examples to demonstrate the effectiveness of the method and the parameters about the Ant Colony Algorithm are discussed. The numerical analysis shows that the Ant Colony Algorithm has a satisfactory result in the truss optimization.
Keywords :
design engineering; elastic constants; mathematics computing; mechanical strength; numerical analysis; optimisation; structural engineering; Matlab; ant colony optimal algorithm; optimization design; stiffness; structural strength; truss structural design; Algorithm design and analysis; Classification algorithms; MATLAB; Mathematical model; Optimization; Probability; Stress; Ant Colony Algorithm; MATLAB; optimization; truss structure;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583282
