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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.
Aiming at the shortcomings of the conventional design methods in the project optimization process, the genetic algorithm is applied to the optimization design of cantilever components.With the engineering cost as the optimization objective function, the standard of the bending and shear capacity and the normal requirements Constraints and optimization design.According to the discreteness of design variables and the slow convergence speed of simple genetic algorithm, the operators of selection, crossover and mutation in the algorithm are operated in parallel. At the same time, The results show that the improved genetic algorithm converges to the optimal solution quickly and the result is stable.Application to the design of cantilever components in the field of engineering design not only meets the requirement of bearing capacity and normal use but also saves cost.