Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification

GD Konstantakopoulos, SP Gayialis… - Operational research, 2022 - Springer
The scheduling of deliveries and the routing of vehicles are of great importance for supply
chain operations, as both determine to a great extent the distribution costs, as well as …

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 …

Research on the time-dependent split delivery green vehicle routing problem for fresh agricultural products with multiple time windows

D Wu, C Wu - Agriculture, 2022 - mdpi.com
Due to the diversity and the different distribution conditions of agricultural products, split
delivery plays an important role in the last mile distribution of agricultural products …

The vehicle routing problem: State of the art classification and review

K Braekers, K Ramaekers… - Computers & industrial …, 2016 - Elsevier
Over the past decades, the Vehicle Routing Problem (VRP) and its variants have grown ever
more popular in the academic literature. Yet, the problem characteristics and assumptions …

Review of vehicle routing problems: Models, classification and solving algorithms

H Zhang, H Ge, J Yang, Y Tong - Archives of Computational Methods in …, 2022 - Springer
With the rapid development of logistics industry, vehicle scheduling is the key to the
optimization of transportation links. Vehicle transportation route planning is becoming more …

Neural large neighborhood search for the capacitated vehicle routing problem

A Hottung, K Tierney - ECAI 2020, 2020 - ebooks.iospress.nl
Learning how to automatically solve optimization problems has the potential to provide the
next big leap in optimization technology. The performance of automatically learned …

Iterated local search: Framework and applications

HR Lourenço, OC Martin, T Stützle - Handbook of metaheuristics, 2019 - Springer
The key idea underlying iterated local search is to focus the search not on the full space of
all candidate solutions but on the solutions that are returned by some underlying algorithm …

An efficient harris hawk optimization algorithm for solving the travelling salesman problem

FS Gharehchopogh, B Abdollahzadeh - Cluster Computing, 2022 - Springer
Abstract Travelling Salesman Problem (TSP) is an Np-Hard problem, for which various
solutions have been offered so far. Using the Harris Hawk Optimization (HHO) algorithm, this …

A review on learning to solve combinatorial optimisation problems in manufacturing

C Zhang, Y Wu, Y Ma, W Song, Z Le… - IET Collaborative …, 2023 - Wiley Online Library
An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …

Collaborative multi-depot pickup and delivery vehicle routing problem with split loads and time windows

Y Wang, Q Li, X Guan, J Fan, M Xu, H Wang - Knowledge-Based Systems, 2021 - Elsevier
Optimization of collaborative multi-depot pickup and delivery logistics networks (CMDPDLN)
with split loads and time windows involves a customer demand splitting strategy and a multi …