基于铁路客票价格问题的混合优化策略算法

A Hybrid Optimization Strategy Algorithm for Passenger-ticket Pricing Problem

混合智能算法和双层规划模型在城市交通领域已得到了广泛的应用,且实际效果显著。本文采用基于遗传算法(GA)和模拟退火算法(SA)的GASA混合优化策略求解铁路客票价格问题的双层规划模型,并用一个简单的算例表明:本算法在求解该双层规划方面更好发挥了智能搜索的优势,具有更高的效率和可信度。

The hybrid intelligent algorithm and bi-level Programming have been widely used in highway traffic. In this paper, aGASAhybrid optimization strategy algorithm is proposed to solve the problem of passenger-ticket pricing. Based on the genetic algorithm and simulated annealing algorithm, a simple numerical result is given to illustrate the probability of the solution algorithm.