|本期目录/Table of Contents|

[1]赵俊生.城乡一体化公交路线问题的量子行为粒子群算法[J].工业仪表与自动化装置,2017,(03):112-114.
　ZHAO Junsheng.On the quantum-behaved particle swarm algorithm for bus routes in the process of urban-rural integration[J].Industrial Instrumentation & Automation,2017,(03):112-114.
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城乡一体化公交路线问题的量子行为粒子群算法

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2017年03期
页码:
112-114
栏目:
出版日期:
2017-06-15

文章信息/Info

Title:
On the quantum-behaved particle swarm algorithm for bus routes in the process of urban-rural integration
文章编号:
1000-0682（2017）03-0000-00
作者:
赵俊生
（甘肃民族师范学院 计算机科学系，甘肃 合作747000）
Author(s):
ZHAO Junsheng
（Department of Computer Science, Gansu Normal University for Nationalities, Gansu Hezuo 747000, China）
关键词:
城乡一体化; 公交车问题; 车辆运输问题; 量子行为粒子群算法
Keywords:
urban-rural integration; bus problems;  vehicle transporting problems;  quantum-behaved particle swarm algorithm
分类号:
O221.4
DOI:
-
文献标志码:
A
摘要:
该文从城镇化视角出发，以城乡一体化公交车路线为例，探讨公交车路线规划问题，基于路线优化数学模型，提出一种改进的量子行为粒子群算法。实验证明该模型算法是可行和有效性。
Abstract:
This paper takes the example of how to design bus routes in the process of urban-rural integration and explores the problem of bus routes planning from the perspective of urbanization, gives the mathematical modal of the route optimization, puts forward the improvements of quantum behaved particle swarm optimization algorithm accordingly and finally proved the theoretical basis and validity of this model.

参考文献/References:

[1] Bodin L, Golden B, Assad A, et al. Routing and scheduling of vehicles and crews: the state of the art. [2] Wang Shouyang, Zhao Qiuhong, Xia Guoping. Research on combined location-routing problems in integrated logistics systems[J].Journal of manegement sciences,2000(6): 69-75. [3] Chan Y, Carter W B, Burnes M D. A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands[J].Computer & Operation Research,1999(28):803-826. [4] Tuzun D, Burke L I. A two-phase tabu search approach to the location routing problem[J]. European Journal of Operational Research, 1999(116):87-99. [5] Li Minqiang, Kou Jisong, Li Dan. The basic theory of genetic algorithm and its application[M]. Beijing: Science press,2002:1-47. [6] Zhao Ji, Xu Wenbo, Sun Jun. Solving systems of nonlinear equations using quantum-behaved particle swarm optimization[J]. Application Research of Computers, 2007(24): 56-59. [7] Xin Zhanhong. Postman delivery problem in big city and its algorithm. Journal of Beijing University of posts and telecommunications,1994(17):78-82.

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备注/Memo

备注/Memo:
收稿日期：2016-10-09 基金项目：甘肃省高等学校科研项目（2013A-120）；甘肃省教育科学"十二·五"规划项目（GS[2013]GHB0934） 作者简介：赵俊生(1971)，男，甘肃天水人，教授，研究方向为智能算法、藏文信息化研究。
更新日期/Last Update: 1900-01-01