基于随机模拟的遗传算法求解随机双层规划的思想可以表达为,在上层规划可行集中随机产生初始种群,种群中的各个个体对应不同的危险物品运输网络设计方案危险物品是一类具有物理、化学或生物特性的物品,容易在生产、贮存和运输中引起泄漏、燃烧、爆炸和中毒等灾害事故,往往对影响范围内的人口、财产和环境 Based on stochastic simulation genetic algorithm to solve stochastic bi-level programming can be expressed as the idea that the initial population is randomly generated in the feasible plan of the upper-level planning, and each individual in the population corresponds to different dangerous goods. Transportation Network Design Project Dangerous goods are a group of physical, chemical Or biological characteristics of goods, easily lead to disasters such as leakage, burning, explosion and poisoning during production, storage and transportation, often affecting the population, property and environment in the affected area