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采用基因算法来解决深基坑围护结构方案优化的问题。优化目标为工程综合造价,主要优化变量包括墙深、墙厚、支撑位置、支撑刚度等。工程实例对比分析表明,采用本文建议方法有很大的适用性与有效性。
Genetic algorithm is used to solve the optimization problem of the deep foundation pit envelope structure. The optimization goal is the comprehensive cost of the project. The main optimization variables include wall depth, wall thickness, support position, and support stiffness. Comparative analysis of engineering examples shows that the proposed method has great applicability and effectiveness.