为解决城市公交路线网络优化问题,给出了一种基于禁忌搜索方法的公交路线网络优化算法;设计了公交路线网络优化问题的数学模型,给出了两阶段禁忌搜索算法的框架及路线合并、路线分解、路线增长3个算子,并进行了实验;实验结果表明,算法能将两目标公交路线网络优化问题收敛到Pareto最优解集,并在Pareto曲线上有均匀的分布,具有较好的应用价值。 In order to solve the problem of urban bus route network optimization, a bus route network optimization algorithm based on tabu search method is given. The mathematical model of bus route network optimization is designed. The framework of the two-stage tabu search algorithm and route merging are given. The results show that the algorithm can converge the two-objective bus route network optimization problem to the Pareto optimal solution set and has a uniform distribution on the Pareto curve, which is better The application value.