摘要
为了减轻起重机主梁自身重量、实现主梁轻量化,提出了搜索空间自适应调整蜂群算法的主梁优化设计方法。建立了起重机主梁轻量化设计数学模型;以传统人工蜂群算法为基础,提出了蜂群搜索空间随迭代次数自适应缩减方法,直至最终锁定最优值区域;充分利用混沌系统的遍历性和随机性,使用混沌搜索蜜源代替停滞蜜源,不仅跳出了局部极值,而且实现了蜜源进化,有效提高了算法收敛速度和寻优精度。使用搜索空间自适应调整的混沌蜂群算法和传统算法求解主梁优化数学模型,改进算法优化的主梁面积比企业主梁截面积减少了2.77%,而传统算法只减少了2.42%;对优化后主梁进行有限元分析可知,主梁优化后依然满足约束条件,符合设计使用要求。
To reduce the weight of crane main girder and achieve lightweight,main girder optimization design method based on searching space adaptive adjustment bee colony algorithm is proposed.Mathematical model of main girder lightweight design is built.On the basis of traditional artificial bee colony algorithm,searching space shrinks adaptively with iterations is put for ward,and optimal value area is locked eventually.Taking advantage of ergodicity and randomness,stagnation honey is substi tuted by honey source searching by chaos,which not only jumps out local extremum,but also accelerates honey evolution,so that convergence rate and optimization accuracy are both improved.Main girder optimization mathematical model is solved by im proved algorithm and traditional algorithm.Compared with main girder actual area,the area of girder optimized by improved al gorithm decreases by 2.77%,and 2.42%by traditional algorithm.Analyzing optimized main girder by finite element,the girder still satisfies constraint condition,and meets the design requirements.
作者
田大海
TIAN Da-hai(Jiangsu College of Safety Technology,Jiangsu Xuzhou 221011,China)
出处
《机械设计与制造》
北大核心
2021年第7期233-236,共4页
Machinery Design & Manufacture
基金
四川省国际合作研究计划项目(2016HH0032)。
关键词
起重机主梁
搜索空间自适应调整
混沌搜索
人工蜂群算法
Crane Main Girder
Searching Space Adaptive Adjustment
Chaos Searching
Artificial Bee Colony Al-gorithm
