基于遗传算法的深层搅拌桩优化设计

Optimal design of deep-mixing piles based on genetic algorithm

将遗传算法应用于深层搅拌桩优化设计中,以单位面积内深层搅拌桩的水泥用量为优化目标函数。全部约束条件均按相应规范的要求给出,并针对传统遗传算法优化设计时遇到的诸如计算量大、早熟收敛等问题,提出了相应的改进策略,利用Visual C++编制了计算程序,通过实例证明了所提优化方法的有效性。

The genetic algorithm was used in optimal design of deep-mixing piles. The cost of deep-mixing piles in one unit area of foundation was taken as the objective function . All the restrains were listed following the corresponding specification. Suggestions were proposed and the modified genetic algorithm was given to deal with the problems of excessive computational cost and premature convergence. Software system of optimal design of deep-mixing piles was developed in Visual C++ .The effectiveness of the optimal method was proved by an application example.