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Journal ArticleDOI

The multi-depot vehicle routing problem with heterogeneous vehicle fleet

TLDR
An efficient implementation of variable neighborhood search that incorporates new features in addition to the adaptation of several existing neighborhoods and local search operators is proposed, including a preprocessing scheme for identifying borderline customers, and a neighborhood reduction test that saves nearly 80% of the CPU time, especially on the large instances.
About
This article is published in Computers & Operations Research.The article was published on 2014-12-01. It has received 159 citations till now. The article focuses on the topics: Vehicle routing problem & Static routing.

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Citations
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Journal ArticleDOI

The vehicle routing problem

TL;DR: This classification is the first to categorize the articles of the VRP literature to this level of detail and is based on an adapted version of an existing comprehensive taxonomy.
Journal ArticleDOI

Survey of Green Vehicle Routing Problem: Past and future trends

TL;DR: The purpose is to review the most up-to-date state-of-the-art of GVRP, discuss how the traditional VRP variants can interact with G VRP and offer an insight into the next wave of research into GVRp.
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A literature review on the vehicle routing problem with multiple depots

TL;DR: A state-of-the-art survey on the vehicle routing problem with multiple depots (MDVRP) is presented, considered papers published between 1988 and 2014, in which several variants of the model are studied.
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Thirty years of heterogeneous vehicle routing

TL;DR: The aim of this survey paper is to classify and review the literature on heterogeneous vehicle routing problems, and presents a comparative analysis of the metaheuristic algorithms that have been proposed for these problems.
Journal ArticleDOI

An improved ant colony optimization algorithm for the multi-depot green vehicle routing problem with multiple objectives

TL;DR: A multi-depot green vehicle routing problem (MDGVRP) is developed by maximizing revenue and minimizing costs, time and emission, and an improved ant colony optimization (IACO) algorithm is applied that aims to efficiently solve the problem.
References
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Journal ArticleDOI

A note on two problems in connexion with graphs

TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
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Variable neighborhood search

TL;DR: This chapter presents the basic schemes of VNS and some of its extensions, and presents five families of applications in which VNS has proven to be very successful.
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Computer solutions of the traveling salesman problem

TL;DR: Two algorithms for solving the (symmetric distance) traveling salesman problem have been programmed for a high-speed digital computer and are based on a general heuristic approach believed to be of general applicability to various optimization problems.
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A general heuristic for vehicle routing problems

TL;DR: A unified heuristic which is able to solve five different variants of the vehicle routing problem and shown promising results for a large class of vehicle routing problems with backhauls as demonstrated in Ropke and Pisinger.
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