|本期目录/Table of Contents|

[1]初良勇,孟聪,阮志毅.考虑时间窗因素的物流配送车辆调度优化[J].集美大学学报(自然科学版),2017,22(6):34-39.
 CHU Liangyong,Meng Cong,RUAN Zhiyi.Research on the Optimization Model and Algorithm of Logistics Distribution Vehicle Scheduling Considering the Time Window[J].Journal of Jimei University,2017,22(6):34-39.
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《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第22卷
期数:
2017年第6期
页码:
34-39
栏目:
航海技术与物流工程
出版日期:
2017-11-28

文章信息/Info

Title:
Research on the Optimization Model and Algorithm of Logistics Distribution Vehicle Scheduling Considering the Time Window
作者:
初良勇1孟聪1阮志毅2
(1.集美大学现代物流研究中心,福建 厦门 361021;2.厦门雅迅网络股份有限公司研发部,福建 厦门 361008)
Author(s):
CHU Liangyong1Meng Cong1RUAN Zhiyi2
(1.Modern Logistics Institution,Jimei University,Xiamen 361021,China;2.R&D Department,Xiamen Yaxon Network Co.,Ltd.,Xiamen 361008,China)
关键词:
物流配送 车辆调度模拟退火算法时间窗
Keywords:
logistics distributionvehicle schedulingsimulated annealing algorithmtime window
分类号:
-
DOI:
-
文献标志码:
A
摘要:
根据物流配送中车辆调度的实际,综合考虑配送中心装货的时间和用户的时间窗,建立了物流配送车辆调度优化的数学模型,并根据模型特点,设计了基于模拟退火算法的求解方案,通过实例验证该数学模型和算法的实用性和有效性。
Abstract:
Based on the actual situation of vehicle dispatching in logistics distribution,the paper establishes a mathematical model for the optimization of vehicle scheduling problem considering the loading time and the user’s time window.Based on the characteristics of the model,solution schemes is designed based on simulated annealing algorithm,and the practicality and validity of the mathematical model and algorithm are verified by an example.

参考文献/References:

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相似文献/References:

[1]初良勇,邢大宁,王鸿鹏,等.智能化物流配送调度优化平台设计及实现[J].集美大学学报(自然科学版),2012,17(6):433.
 CHU Liang-yongXING Da-ningWANG Hong-pengXU Jin-cai.The Design and Implementation of Optimization Platform for Intelligent Logistics Distribution Control[J].Journal of Jimei University,2012,17(6):433.
[2]周妮,王文,薛晗,等.动态环境下基于换电模式的电动车路径问题研究[J].集美大学学报(自然科学版),2024,29(1):39.
 ZHOU Ni,WANG Wen,XUE Han,et al.Research on the Path Issue of Electric Vehicles Based on the Power Swapping Mode in Dynamic Environment[J].Journal of Jimei University,2024,29(6):39.

备注/Memo

备注/Memo:
-
更新日期/Last Update: 2017-12-28