A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants

R Elshaer, H Awad - Computers & Industrial Engineering, 2020 - Elsevier
Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …

Designing a sustainable supply chain network integrated with vehicle routing: A comparison of hybrid swarm intelligence metaheuristics

K Govindan, A Jafarian, V Nourbakhsh - Computers & operations research, 2019 - Elsevier
Recently, a growing concern with sustainability has become a consideration in business
operations. However, there is a lack of mathematical models that quantify environmental …

A novel multi-objective green vehicle routing and scheduling model with stochastic demand, supply, and variable travel times

Y Zarouk, I Mahdavi, J Rezaeian… - Computers & Operations …, 2022 - Elsevier
We propose an optimization approach to the routing and scheduling problem for a
heterogeneous transportation network that considers (i) stochastic values of demand and …

A cluster-based optimization framework for vehicle routing problem with workload balance

LI Jingjing, Y Fang, N Tang - Computers & Industrial Engineering, 2022 - Elsevier
Reducing transport costs and guaranteeing the fairness of the workload are major concerns
for logistic companies. This paper addresses a vehicle routing problem with workload …

A multi-population algorithm to solve the VRP with stochastic service and travel times

A Gutierrez, L Dieulle, N Labadie, N Velasco - Computers & Industrial …, 2018 - Elsevier
The vehicle routing problem with stochastic travel and service times is a variant of vehicle
routing problem where travel and service times are modeled as random variables. This …

Vehicle routing problem with time windows having stochastic customers demands and stochastic service times: Modelling and solution

R Goel, R Maini, S Bansal - Journal of Computational Science, 2019 - Elsevier
On-time and foolproof demand satisfaction has gained attention in today's transportation and
logistics industries due to their direct impact on business success. However, the uncertainty …

[HTML][HTML] 基于混合禁忌搜索算法的随机车辆路径问题

李国明, 李军华 - 控制与决策, 2021 - kzyjc.alljournals.cn
针对实际配送过程中客户需求, 车辆服务时间随机可变, 提出带软时间窗的随机需求和随机服务
时间的车辆路径问题. 以配送车辆行驶路径为研究对象, 建立基于配送成本, 时间惩罚成本 …

Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm

R Wang, J Zhou, X Yi, AA Pantelous - Journal of Ambient Intelligence and …, 2019 - Springer
Green logistics is an emerging area in supply chain management, which has been shown to
have tremendous impacts in recent years to face the serious climate changes risks. In this …

A hybrid metaheuristic algorithm for the vehicle routing problem with stochastic demands

A Gutierrez, L Dieulle, N Labadie, N Velasco - Computers & Operations …, 2018 - Elsevier
This article deals with the Vehicle Routing Problem with Stochastic Demands. To solve this
problem, a hybrid metaheuristic combining a Memetic Algorithm and Greedy Randomized …

A vehicle routing problem model with multiple fuzzy windows based on time-varying traffic flow

J Zheng - IEEE access, 2020 - ieeexplore.ieee.org
In actual distribution process, the traffic flow varies with time, and each consumer has
multiple fuzzy windows. To minimize the total distribution cost and mean consumer …