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Intelligent dispatch for public traffic vehicles based on improved genetic algorithm | |
Zhu, Chang-Sheng![]() | |
2010 | |
会议录名称 | Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
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卷号 | 3 |
页码 | V3372-V3375 |
出版者 | IEEE Computer Society |
摘要 | Bus intelligent scheduling problem, the application of existing passenger flow information, and to take into account the passengers and the bus companies' dual interests, is constructed to the traffic laws of encoding, genetic operators, fitness function and other improved genetic algorithm design. Finally, the simulation results are obtained by using the improved Genetic Algorithm for solving the non-uniform grid schedule. Results show that the improved Genetic Algorithm can find the approximate best result in the huge search space of optimization, while greatly increased the computational efficiency. ©2010 IEEE. |
关键词 | Computational efficiency Scheduling algorithms Bus companies Fitness functions Genetic operators Intelligent dispatches Intelligent scheduling Non-uniform grids Passenger flows Search spaces |
DOI | 10.1109/ICFCC.2010.5497590 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20104513354931 |
EI主题词 | Genetic algorithms |
来源库 | Compendex |
分类代码 | 921.5 Optimization Techniques |
引用统计 | 无
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文献类型 | 会议论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/116528 |
专题 | 计算机与通信学院 |
作者单位 | School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China |
第一作者单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhu, Chang-Sheng,Liang, Jian-Bo,Feng, Wen-Yi,et al. Intelligent dispatch for public traffic vehicles based on improved genetic algorithm[C]:IEEE Computer Society,2010:V3372-V3375. |
条目包含的文件 | 条目无相关文件。 |
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