基于混合粒子群算法的土钉支护结构设计参数优化

在土层工程地质情况一定的条件下，如何寻找一组最佳设计参数，以达到既经济又安全的目的，是土钉支护设计的一个重要问题。这是一个复杂的优化设计问题。就此，提出基于混合粒子群优化(PSO)算法的基坑土钉支护优化设计方法，以单位长度土钉墙的土钉材料造价作为优化的目标函数。该方法保持了PSO算法结构简单的特点，改善了PSO算法的全局寻优能力，提高了算法的收敛速度和计算精度，不活动粒子的处理使算法避免了“早熟”现象的出现。工程实例计算表明，该方法是进行土钉支护结构优化设计的有效方法。

Hybrid Particle Swarm Optimization Algorithm Used for Design of Soil-Nail Bracing

In the condition of soil layers engineering geology, how to find a set of optimal design parameters, in order to obtain both economic and safe purpose, is an important problem in soil-nail design. This is a complicated optimization problem. In this paper, the hybrid particle swarm optimization (PSO) algorithm is used in optimal design of soil nailing for deep excavations, the cost of soil nailing material in one unit length of wall is taken as the objective function. The chaos optimization algorithm is incorporated into the PSO algorithm, and a new particle swarm optimization algorithm based on chaos searching proposed. The proposed algorithm not only has simple for implement of original particle swarm optimization, also accelerate the convergence and onhance the computational precision of chaos optimization algorithm. The result of experimentation shows that the proposed approach, which is indeed capable of obtaining higher quality solutions efficiently, can optimize the design of the soil-nail bracing, and it is effective.