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基于改进遗传算法的悬臂起重机悬臂梁优化设计 被引量:9

Study of Optimal Designing the Cantilever Beam for Cantilever Crane Based on Improved GA
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摘要 针对悬臂起重机材料冗余量大、生产成本高的问题,在深入研究优化设计算法的基础上,通过分析悬臂起重机悬臂梁的受力情况,结合悬臂梁多采用工字钢的特点,将离散变量结构优化技术与遗传算法相结合,提出了基于改进遗传算法的悬臂起重机悬臂梁优化设计方法,构建了离散变量结构优化的数学模型和适应度函数,实现了悬臂梁结构的优化设计,验证了该优化设计方法的有效性,降低了生产用钢量,对工程应用具有一定的指导意义。 In view of huge material redundancy and high production cost in the cantilever crane design process, an design algonthm was deeply studied. According to the analysis of the forces in cantilever beam, with the feature of mostly using the I-beams in cantilever beam, an optimization design method of combining optimization technique with GA for cantilever beam was proposed. Mathematical model and fitness function of the structural optimization with descrete variables were built, optimization design of cantilever beam structure was achieved, the efficiency of this optimization design method was validated and the consumption of steel for production was reduced. It provides a certain guidence for angineering application.
出处 《机械设计与研究》 CSCD 北大核心 2014年第4期156-159,共4页 Machine Design And Research
关键词 优化设计 改进遗传算法 离散变量 适应度函数 悬臂起重机 optimization arithmetic improved GA discrete variables fitness function cantilever beam
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