Title :
Optimization design of truss structure based on synchronous cellular genetic algorithm
Author :
Zhang Yi ; Hu Fangjun ; Liu Zheng ; Zhan Teng
Author_Institution :
Hubei Key Lab. of Hydroelectric Machinery Design & Maintenance, China Three Gorges Univ., Yichang, China
Abstract :
In consideration of serious kinds of constraints and technical requirements in engineering practice, we established the mathematical model of optimization design of truss structure and proposed a synchronous cellular genetic algorithm to solve the model by bringing in synchronous mechanism to genetic algorithm. The proposed algorithm not only inherits the superiority in global search of genetic algorithm, but also equips with better search capacity and efficiency by introducing the theory of cellular automata . At last, the super performance of the proposed algorithm is proved by the results of comparative testing on an example of truss structure optimization design.
Keywords :
cellular automata; design engineering; genetic algorithms; structural engineering; supports; cellular automata; global search capacity; mathematical model; optimization design; synchronous cellular genetic algorithm; truss structure; Algorithm design and analysis; Design methodology; Employee welfare; Genetic algorithms; Mathematical model; Optimization; Stress; cellular genetic algorithm; optimization design; synchronous mechanism; truss structure;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
DOI :
10.1109/ICICIP.2013.6568047