摘要
在现有出租车合乘问题研究基础上,考虑乘客模糊时间窗、合乘意愿等因素,建立更符合实际的多对多合乘模型,并使用改进的差分进化算法进行求解.该算法设计了一种分段实数编码方案、基于个体排序的缩放因子F与交叉概率CR及混合轮盘赌的半贪婪选择策略.仿真结果表明:所提算法的求解效果优于传统差分进化算法与遗传算法,是解决该类问题的有效方法;与非合乘模式相比,所建模型成本减少、服务乘客数增加,模型合理有效;同时分析了模糊时间窗、合乘意愿2个因素对模型求解结果的影响.
A more realistic many-to-many dynamic shared taxi model is established, with considering the factors such as fuzzy time window and willingness to carpool, and the improved differential evolution algorithm is supposed. A segmented real number coding scheme is designed in this algorithm, as well as the scaling factor F and the crossover probability CR based on the individual ranking and a semi-greedy selection strategy mixed roulette. The simulation results indicate that the proposed algorithm could find higher quality solutions than the traditional differential evolution algorithm and the genetic algorithm; compared with the non-carpool mode, the total cost of the developed model is reduced, and the number of served passengers is increased; besides, the influence of the fuzzy time window and willingness to carpool on the solution of the model is also analyzed.
作者
郑建国
李园园
ZHENG Jian-guo, LI Yuan-yuan(The Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, Chin)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2018年第1期121-126,157,共7页
Journal of Transportation Systems Engineering and Information Technology
基金
上海市自然科学基金(15ZR1401600)~~
关键词
城市交通
出租车合乘
差分进化算法
模糊时间窗
合乘意愿
urban traffic
taxi sharing
differential evolution algorithm
fuzzy time window
willingness to carpool
