A Memetic Algorithm for High-Speed Railway Train Timetable Rescheduling
A Memetic Algorithm for High-Speed Railway Train Timetable Rescheduling
复制标题
一种用于高铁列车时刻表重新安排的模因算法
DOI:
10.20965/jaciii.2022.p0407
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发表时间:
2022-05
影响因子:
0.7
通讯作者:
Zhiming Yuan
中科院分区:
文献类型:
--
作者:
Shuxin Ding;Tao Zhang;Ziyuan Liu;Rongsheng Wang;Sai Lu;Bin Xin;Zhiming Yuan
This study addresses a high-speed railway train timetable rescheduling (TTR) problem with a complete blockage at the station and train operation constraints. The problem is formulated as a mixed-integer linear programming (MILP) model that minimizes the weighted sum of the total delay time of trains. A memetic algorithm (MA) is proposed, and the individual of MA is represented as a permutation of trains’ departure order at the disrupted station. The individual is decoded to a feasible schedule of the trains using a rule-based method to allocate the running time in sections and dwell time at stations. Consequently, the original problem is reformulated as an unconstrained problem. Several permutation-based operators are involved, including crossover, mutation, and local search. A restart strategy was employed to maintain the the population diversity. The proposed MA was compared with the first-scheduled-first-served (FSFS) algorithm and other state-of-the-art evolutionary algorithms. The experimental results demonstrate the superiority of MA in solving the TTR through permutation-based optimization in terms of constraint handling, solution quality, and computation time.
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影响因子:
10
作者:
Neri, Ferrante;Cotta, Carlos
通讯作者:
Cotta, Carlos
DOI:
10.20965/jaciii.2018.p0214
发表时间:
2018-03
期刊:
J. Adv. Comput. Intell. Intell. Informatics
影响因子:
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DOI:
10.1201/9781003202653
发表时间:
2021-09
期刊:
--
影响因子:
--
作者:
Shuxin Ding;Chen Chen-Chen;Qi Zhang;Bin Xin;P. Pardalos
通讯作者:
Shuxin Ding;Chen Chen-Chen;Qi Zhang;Bin Xin;P. Pardalos
影响因子:
2.7
作者:
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