|本期目录/Table of Contents|

[1]胡觉亮,张宇涛,韩曙光.城市物流中电动无人车配送优化研究[J].浙江理工大学学报,2020,43-44(社科二):124-133.
 HU Jueliang,ZHANG Yutao,HAN Shuguang.Research on distribution optimization of electric unmanned vehicles in urban logistics[J].Journal of Zhejiang Sci-Tech University,2020,43-44(社科二):124-133.
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城市物流中电动无人车配送优化研究()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第43-44卷
期数:
2020年社科二期
页码:
124-133
栏目:
出版日期:
2020-04-10

文章信息/Info

Title:
Research on distribution optimization of electric unmanned vehicles in urban logistics
文章编号:
1673-3851 (2020) 04-0124-10
作者:
胡觉亮张宇涛韩曙光
浙江理工大学,a.理学院;b.经济管理学院,杭州 310018
Author(s):
HU Jueliang ZHANG Yutao HAN Shuguang
a.School of Sciences; b.School of Economics and Management,Zhejiang Sci-Tech  University, Hangzhou 310018, China
关键词:
城市物流电动无人车车辆路径规划遗传模拟退火算法
分类号:
F542
文献标志码:
A
摘要:
为了加快智慧城市物流的建设,使用电动无人车进行城市物流配送可以提高效率并降低成本。考虑到车辆载重、客户时间窗、电池容量以及充电时间等因素,以配送成本极小化为目标,建立了物流配送路径规划模型,设计了遗传算法和模拟退火算法相结合的遗传模拟退火算法,并验证其有效性。应用所建立的数学模型和设计的算法对案例进行求解,探讨了时间窗对配送的影响并且分别对行驶速度、电量消耗系数和充电系数进行灵敏度分析,结果表明这些因素对配送成本有着一定的影响。该研究可以为物流公司的城市物流配送业务发展提供参考。

参考文献/References:

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相似文献/References:

[1]曹珍,韩曙光.考虑充电调度的电动无人车配送路径规划问题研究[J].浙江理工大学学报,2023,49-50(自科六):784.
 CAO Zhen,HAN Shuguang.Research on the distribution routing problem of electric unmanned vehicle considering charging scheduling[J].Journal of Zhejiang Sci-Tech University,2023,49-50(社科二):784.

备注/Memo

备注/Memo:
收稿日期:2019-06-25
网络出版日期: 2019-11-04
基金项目:国家自然科学基金项目(11471286)
作者简介:胡觉亮(1958-),男,浙江杭州人,教授,主要从事运筹学理论与应用方面的研究
通信作者:韩曙光,E-mail:zist001@163.com
更新日期/Last Update: 2020-06-09