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A metaheuristic method for vehicle routing problem based on improved ant colony optimization and Tabu search

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成果类型:
期刊论文
作者:
Lai, Mingyong*;Tong, Xiaojiao
通讯作者:
Lai, Mingyong
作者机构:
[Lai, Mingyong] Hunan Univ, Key Lab Logist Informat & Simulat Technol, Changsha 410079, Hunan, Peoples R China.
[Tong, Xiaojiao] Hengyang Normal Univ, Dept Math & Comp Sci, Hengyang 421002, Peoples R China.
通讯机构:
[Lai, Mingyong] H
Hunan Univ, Key Lab Logist Informat & Simulat Technol, Changsha 410079, Hunan, Peoples R China.
语种:
英文
关键词:
Improved ant colony optimization;improved Tabu search;vehicle routing problem;simultaneous pickups and deliveries;time window constraints
期刊:
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
ISSN:
1547-5816
年:
2012
卷:
8
期:
2
页码:
469-484
机构署名:
本校为其他机构
院系归属:
数学与统计学院
摘要:
A mixed integer programming mathematical formulation of vehicle routing problem with simultaneous pickups and deliveries, and time window constraints (VRP-SPDTW) is presented in this paper. The proposed model aims at minimizing the vehicle number and the overall travel cost. A novel two-stage hybrid metaheuristic method for VRP-SDPTW is also proposed. The first stage adopts improved ant colony optimization (IACO) to determine the minimum number of used vehicles. The second stage employs improved Tabu search to optimize the total travel cost, in which the initial solutions are obtained by IACO ...

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