悬臂构件改进遗传算法优化设计  

Cantilever member optimal design using improved genetic algorithm

作　　者：李慧[1] 李福荣[2] 王旭辉[1] 

机构地区：[1]邯郸学院信息工程学院,河北邯郸056005 [2]黄淮学院国际学院,河南驻马店463000

出　　处：《辽宁工程技术大学学报（自然科学版）》2015年第6期725-729,共5页Journal of Liaoning Technical University (Natural Science)

基　　金：河北省科技厅科学技术研究与发展计划项目(11212118D);河南省自然科学基金研究项目(No.142300410288;No.132400411178)

摘　　要：针对工程领域中常规设计方法在方案选优过程中的不足,将遗传算法用于悬臂构件的优化设计.以工程造价为最优化目标函数,规范规定的抗弯抗剪承载力和正常使用要求作为约束条件,进行优化设计.根据设计变量的离散性和简单遗传算法收敛速度慢的特点,将算法中的选择、交叉和变异算子进行并行操作,同时,通过施加惩罚函数来保持个体之间的差异性.通过实例分析表明:改进后的遗传算法能很快地收敛到最优解,结果稳定.应用到工程设计领域悬臂构件的设计中,设计方案不但满足承载力和正常使用要求,而且节约成本.According to the shortcoming of conventional design method used to select optimal plan in engineering field, genetic algorithm was proposed to optimize cantilever member. Project cost was choose as the optimal objective function, bending resistance capacity, shearing resistance capacity and the requirement ruled by standard as constraint condition, and then optimal design was carried out. Design variables are discrete and simple genetic algorithm converge slowly, so the selection operator,crossover operator and mutation operator were modified for parallel relationship, punishment function was applied for keeping the difference among individuals. Through a case study, the results show that the improved genetic algorithms can converge to optimal solution, and steady. When the algorithm was introduced to engineering design field to design cantilever member, the design plan is not only satisfied in bearing capacity and normal request aspect, but also save cost.

关 键 词：改进遗传算法 优化设计 悬臂构件 造价 钢筋混凝土 抗弯 抗剪 

分 类 号：TU318[建筑科学—结构工程] TP399[自动化与计算机技术—计算机应用技术]