Route Optimization of Customized Buses Based on Optimistic and Pessimistic Values
Author:
Affiliation:
1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China
2. School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
Funder
National Natural Science Foundation of China
“Double-First Class” Major Research Programs, Educational Department of Gansu Province
Joint Innovation Fund Project of Lanzhou Jiaotong University and Tianjin University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10032550.pdf?arnumber=10032550
Reference16 articles.
1. Multiobjective robust optimization model and algorithm for customized bus;tao;Western China Communications Science & Technology,2018
2. Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm
3. Optimization of parking lot and multi-vehicle route of customized buses based on genetic algorithm;wang;J Transp Inf Saf,2019
4. A hybrid large-neighborhood search algorithm for the cumulative capacitated vehicle routing problem with time-window constraints
5. Customized electric bus routing optimization considering multi-path selection;guo;J Transp Syst Eng and Inform Technol,2021
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