Abstract：Research purposes: Aiming to the problem of the standard Genetic Algorithms(SGA)，such as premature convergence，oscillation and over—randomization in iterative process，a series of adaptive genetic algorithms is proposed to improve SGA．The optimal design model for 3 D trusses is established with the adaptive genetic algorithms and the optimal analysis program for the adaptive genetic algorithms is made with matlab language for optimal design of the canopy of railway station．
Research conclusions: The adaptive genetic algorithms decides the cross location，cross rate and variance rate of chromosome based on the individual adaptive value in calculation process to make the cross moving to the algorithms convergence direction，which ensures the filial generation is better than father generation，make the start phase variable obviously and later phase stable slowly and ensure obtaining the optimal solution as a whole for population development，seeking balance and entire convergence．The optimal design of the trusses structure of the railway station canopy is made with the optimal design model for 3 D trusses and matlab software．The result shows the adaptive genetic algorithms is an ideal optimal design method for building structure．
田承昊，董 城，刘 明，王铁成. 基于自适应遗传算法的3D钢桁架优化设计研究[J]. 铁道工程学报, 2009, 26(6): 98-102.
TIAN Cheng—hao，DONG Cheng，LIU Ming，WANG Tie—cheng. Research on the Optimal Design of 3D Trusses with Adaptive Genetic Algorithms. 铁道工程学报, 2009, 26(6): 98-102.
2009, Vol. 26 
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