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Book ChapterDOI

A new algorithm for site-dependent vehicle routing problem

TLDR
A new algorithm for solving the site-dependent vehicle routing problem (SDVRP) is presented and applied to a set of 12 test problems taken from the literature and computational results show that the new algorithm easily outperforms the previous methods.
Abstract
In the site-dependent vehicle routing problem (SDVRP), a heterogeneous fleet of vehicles is used to service a set of customers, but there exist compatibility dependencies between customer sites and vehicle types. Some customers with extremely large demands may require large vehicles, whereas some customers located in congested areas may require small or medium-size vehicles. Other customers might be serviced by any type of vehicle. The goal is to carefully select an allowable vehicle type for each customer. Then, for each vehicle type, a classical vehicle routing problem (VRP) is solved over all customers selecting that vehicle type so that the total distance traveled by the entire fleet is minimized and all VRP constraints as well as the site-dependent constraints are satisfied. In this paper, a new algorithm for solving the SDVRP is presented and applied to a set of 12 test problems taken from the literature. The computational results show that the new algorithm easily outperforms the previous methods.

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Citations
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Journal ArticleDOI

A tabu search method for the truck and trailer routing problem

TL;DR: A solution construction method and a tabu search improvement heuristic coupled with the deviation concept found in deterministic annealing are developed to solve the truck and trailer routing problem.
Journal ArticleDOI

Solving the truck and trailer routing problem based on a simulated annealing heuristic

TL;DR: This study applies a simulated annealing (SA) heuristic to the truck and trailer routing problem (TTRP) and obtained 17 best solutions to the 21 benchmark TTRP benchmark problems, including 11 new best solutions.
Journal ArticleDOI

A simulated annealing heuristic for the truck and trailer routing problem with time windows

TL;DR: In this study, the truck and trailer routing problem with time windows (TTRPTW) is introduced to bring the TTRP model closer to the reality and a simulated annealing (SA) heuristic is proposed for solving the T TRPTW.
Journal ArticleDOI

A Computational Study Of A New Heuristic For The Site-Dependent Vehicle Routing Problem

TL;DR: In the site-dependent vehicle routing problem, a fleet of heterogeneous vehicles services a set of customers as mentioned in this paper, typically, there are several vehicle types (for example, small-, medium-, and large-cap...
Journal ArticleDOI

A heuristic approach for the truck and trailer routing problem

TL;DR: Experiments and comparison with competing approaches suggest that the results of the proposed machinery are promising, producing, on average, a smaller total tour lengths on benchmarks.
References
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Journal ArticleDOI

Scheduling of Vehicles from a Central Depot to a Number of Delivery Points

TL;DR: An iterative procedure is developed that enables the rapid selection of an optimum or near-optimum route and has been programmed for a digital computer but is also suitable for hand computation.
Journal ArticleDOI

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.
Journal ArticleDOI

A generalized assignment heuristic for vehicle routing

TL;DR: This paper presents a heuristic for this problem in which an assignment of customers to vehicles is obtained by solving a generalized assignment problem with an objective function that approximates delivery cost and shows that it has outperformed the best existing heuristics on a sample of standard test problems.
Book

Vehicle routing: methods and studies

TL;DR: Algorithmic Techniques for Vehicle Routing Systems and Models for Complex Routing Environments.
Journal ArticleDOI

New optimization heuristics

TL;DR: The quality of the computational results obtained so far by RRT and GDA shows that the new algorithms behave equally well as TA and thus a fortiori better than SA.
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