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基于拟满应力遗传算法的桁架结构形状优化设计 被引量:1

AN IMITATIVE FULL-STRESS GENETIC ALGORITHM FOR SHAPE OPTIMIZATION OF THE TRUSS WITH DISCRETE VARIABLES
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摘要 以拟满应力法和改进遗传算法为基础,提出了一种可以解决具有连续变量和离散变量的桁架结构形状优化问题的拟满应力遗传算法。该算法既充分利用了遗传算法全局寻优能力强的特点,也发挥了力学准则法局部寻优长处,具有很高的搜索效率。用拟满应力遗传算法解决15杆桁架结构形状优化问题的结果表明,这是一种解决具有连续、离散混合变量的桁架结构优化设计问题的很有效方法。 A hybrid genetic algorithm is proposed to deal with shape optimization of the truss based on the imitative full-stress design method and improved genetic algorithm.The results show that hybrid GA is characterized by searching optimum in either global region or local regions as comparing with common GA and mechanics criterion method and it is an efficient method for optimization of the truss with continuous and discrete variables.
出处 《工业建筑》 CSCD 北大核心 2007年第z1期487-489,共3页 Industrial Construction
关键词 拟满应力 改进遗传算法 桁架结构形状优化 连续离散变量 imitative full-stress design method improved genetic algorithm shape optimization of the truss continuous and discrete variables
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参考文献5

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共引文献42

同被引文献12

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