2 edition of **Heuristic methods for the solution of some variations of the vehicle routing problem.** found in the catalog.

Heuristic methods for the solution of some variations of the vehicle routing problem.

Ali Abdul Hussain Al-Asam

- 40 Want to read
- 36 Currently reading

Published
**1976** by University of Birmingham in Birmingham .

Written in English

**Edition Notes**

Thesis (Ph.D.)- Univ. of Birmingham, Dept of Engineering Production.

ID Numbers | |
---|---|

Open Library | OL21620753M |

The solution output by the assignment problem heuristic can serve as the lower bound for our TSP solution. (This heuristic can be used for both STSP and ATSP, but is usually better for the ATSP Author: Opex Analytics. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents a method for solving the multi-depot location-routing problem (MDLRP). Since several unrealistic assumptions, such as homogeneous #eet type and unlimited number of available vehicles, are typically made concerning this problem, a mathematical formulation is given in which these assumptions are . A constructive heuristic is a type of heuristic method which starts with an empty solution and repeatedly extends the current solution until a complete solution is obtained. It differs from local search heuristics which start with a complete solution and then try to improve the current solution . important generalizations: the periodic and the multi-depot vehicle routing problems with time windows. The major benefits of the approach are its speed, simplicity and flexibility. The performance of the heuristic is assessed by comparing it to alternative methods on benchmark instances of the vehicle routing problem with time windows.

You might also like

Methodological and historical essays in the natural and social sciences.

Methodological and historical essays in the natural and social sciences.

Harmony in tonal music

Harmony in tonal music

Come back, little Sheba

Come back, little Sheba

Videocassettes x 6 for 01/97.

Videocassettes x 6 for 01/97.

Rodney Peppés Puzzle book.

Rodney Peppés Puzzle book.

Environmental law in South Carolina

Environmental law in South Carolina

Internship at ANL

Internship at ANL

History of excision of the rectum

History of excision of the rectum

The Return to Zion

The Return to Zion

Over a late cigar

Over a late cigar

The defendant

The defendant

Laying of the foundation stone of the Lough Neagh Scheme at Dunore Point

Laying of the foundation stone of the Lough Neagh Scheme at Dunore Point

White

White

Shipping to New Zealand, 1839 to 1889

Shipping to New Zealand, 1839 to 1889

Career Opportunities in the Energy Industry (Career Opportunities)

Career Opportunities in the Energy Industry (Career Opportunities)

The Science of Sciences (Mananam)

The Science of Sciences (Mananam)

Ethics and the radiologic technician

Ethics and the radiologic technician

The 2000 Import and Export Market for Wire Products and Fencing Grills in Finland

The 2000 Import and Export Market for Wire Products and Fencing Grills in Finland

Most scientific papers in the area of heuristic solution methods for vehicle routing problems target a specific vehicle routing problem, e.g. vehicle routing problems with time windows (VRPTW).

In such papers a heuristic is designed, implemented and fine-tuned to fit this particular problem by: This paper documents our investigation into various heuristic methods to solve the vehicle routing problem with time windows (VRPTW) to near optimal solutions. The objective of the VRPTW is to serve Heuristic methods for the solution of some variations of the vehicle routing problem.

book number of customers within predefined time windows at minimum cost (in terms of distance travelled), without violating the capacity and total trip time constraints for each by: The performance of simulated annealing approaches for the VRPTW along with genetic algorithms and tabu search is given in Thangiah et al.

() and Tan et al. Cordeau et al. (proposed a tabu search heuristic for two generalizations of the vehicle routing problem with time windows: the periodic VRPTW and the multi-depot VRPTW. A New Heuristic for the Multi-Depot Vehicle Routing Problem that Improves upon Best-Known Solutions American Journal Heuristic methods for the solution of some variations of the vehicle routing problem.

book Mathematical and Management Sciences, Vol. 13, No. Vehicle Routing Problem and Simulated AnnealingCited by: Vehicle Routing Problem, Set-Partitioning, Tabu Search, Heuristic. 2 James P. Kelly and Jiefeng Xu 1.

Introduction The Vehicle Routing Problem (VRP) is an important management problem in the field of physical distribution and logistics. solutions. (Vehicle Routing Problem; Tabu Search; Generalized Insertion) 1. Introduction The purpose of this paper is to present TABUROUTE, a new heuristic for the following version of the Vehicle Routing Problem (VRP).

Let G = (V, A) be a directed graph where V = {. The cumulative capacitated vehicle routing problem (CCVRP) is a variation of the classical capacitated vehicle routing problem in which the objective is the minimization of the sum of arrival times at customers, instead of the total routing cost.

This paper presents an adaptive large neighborhood search heuristic for the CCVRP. This algorithm is applied to a set of benchmark instances and Cited by: Keywords: VRP, Solution Methodologies, Exact Solution Methods, Heuristic Solution Techniques, Meta-heuristic Solution Techniques, Simulation.

1 Introduction The VRP is a challenging logistics management problem with variations that range from school bus routing to the dispatching of delivery trucks for customer goods. Regardless of theFile Size: KB.

Vehicle routing heuristics, as are most heuristics, are usually measured against two criteria: accuracy and speed. In our opinion simplicity andflexibility are also essential attributes of good heuristics. We now elaborate on these four criteria. Accuracy Accuracy measures the degree of departure of a heuristic solution value from the optimal Size: KB.

Pisinger, S. Ropke / Computers & Operations Research 34 () – an important research area as such heuristics are needed for real life problems, in which the transportation Heuristic methods for the solution of some variations of the vehicle routing problem. book of different companies often are different and thus call for various types of vehicle routing problems.

This paper documents our investigation into various heuristic methods to solve the vehicle routing problem with time windows (VRPTW) to near optimal solutions.

The objective of the VRPTW is to serve a number of customers within predefined time windows at minimum cost. Problem description The Vehicle Routing Problem has many variations, each aiming to deal with a specific problem of interest in the industry.

Here is a list of assumptions made for the version used in this paper: 1- There is only one depot. 2- There is no working time limitation for the Size: KB. vehicle routing problem (CVRP) and also their variants.

The VRP is classified as an NP-hard problem. Hence, the use of exact optimization methods may be difficult to solve these problems in acceptable CPU times, when the problem involves real-world data sets that are very large.

The vehicle routing problem comes under combinatorial Size: KB. The solution of problems under the assumption of no restrictions on fleet type and size can be obtained by setting the fleet type to one, and the fleet size to a very large number. This paper proposes a heuristic method, which decomposes the LRP into a location-allocation problem Cited by: an adaptive memory as a pool of good solutions element (single tour) of these solutions are combined together to form new solution (more weight is given to best solutions) l solutions are completed by an insertion procedure.

search is applied at the tour level DM87 Scheduling, Timetabling and Routing 25 Granular File Size: KB. The Vehicle Routing Problem covers both exact and heuristic methods developed for the VRP and some of its main variants, emphasizing the practical issues common to VRP.

The book is composed of three parts containing contributions from well-known experts. The first part covers basic VRP, known more commonly as capacitated VRP. The solution to a dynamic context of the Capacitated Vehicle Routing Problem (CVRP) is challenging.

Routing and replenishment decisions are necessary by considering the assignment of customers to vehicles when the information is gradually revealed over horizon time. The procedure to solve this type of problems is referred to as route reoptimization, which is the best option for minimizing Author: Rodrigo Linfati, John Willmer Escobar.

An overview of heuristic solution methods. a sequential solution procedure for the vehicle routing problem. population or indirectly through some form of transformation or variation Author: Edward A. Silver. SYNOPTIC ABSTRACTBranch exchange techniques, such as the well-known 2-opt and 3-opt procedures, are among the most powerful heuristics available.

The vehicle routing problem with pickups, deliveries and time windows (PDPTW) is an important member in the class of vehicle routing problems. In this paper a general heuristic to construct an initial feasible solution is proposed and compared with other construction methods.

New route reconstruction heuristics are then shown to improve on by: 5. Solution Approaches Vehicle Routing Problems have been studied extensively in the Operational Research literature. A good overview of exact and heuristic methods, together with descriptions of some application areas is to be found in The vehicle routing problem book by Toth and Vigo [12].

This paper proposes three meta-heuristic algorithms, namely cuckoo search, central force optimization, and chemical reaction optimization for solving vehicle routing problem with time windows (VRPTW). A comparison study between different meta-heuristic algorithms aims to identify their respective strengths and by: 2.

There are many methods how to solve vehicle routing problem manually. For example, optimum routing is a big efficiency issue for forklifts in large warehouses.

Some of the manual methods to decide upon the most efficient route are: Largest gap, S-shape, Aisle-by-aisle, Combined and Combined +. A Solution Approach from an Analytic Model to Heuristic Algorithm for Special Case of Vehicle Routing Problem with Stochastic Demands Mathematical Problems in Engineering, Vol.

Reactive Scheduling of a Distributed Network for the Supply of Perishable ProductsCited by: In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Windows. Its framework is a smart combination of three simple procedures: the classical k-opt exchanges improve the solution, an ad hoc procedure reduces the number of vehicles and a second objective function drives the search out of local by: In section 2 we formulate our problem formally.

The heuristic solution method is described in section 3. Computational tests are discussed in section 4, followed by conclusions and suggestions for future work in section 5. 2 Problem description In the Vehicle Routing Problem (VRP) a set of customers require some kind of service. In this paper, we present a review with some limited of exacts, heuristics and metaheuristics methods for the vehicle routing problem time windows (VRPTW).

Over the past 20 years vehicle routing problem with time windows has been an area of research that has attracted many by: Meta-Heuristic Solution Methods for Rich Vehicle Routing ProblemƗ Phuong Khanh Nguyen * Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and Department of Computer Science and Operations Research, Université de Montréal, P.O.

BoxStation Centre-Ville, Montréal, Canada H3C 3J7 Abstract. They are the orienteering problem, the team orienteering problem, the multi-depot vehicle routing problem, the period vehicle routing, and the period traveling salesman problem.

For each type of problem, an effective heuristic method based upon a same simple basic idea is developed. The J-Horizon is java based vehicle Routing problem software that uses the jsprit library to solve: Capacitated VRP, Multiple Depot VRP, VRP with Time Windows, VRP with Backhauls, VRP with Pickups and Deliveries, VRP with Homogeneous or Heterogeneous Fleet, VRP with Open or Closed routes, TSP, mTSP and various combination of these types.

Latitude/Longitude is also supported. Vehicle routing problem: Models and solutions al. b), for a multi-depot routing problem (Salhi et al. ), and a school bus routing problem (Thangiah & Nygard ).

Potvin et al. (b) have used a hybrid approach to VRP using Neural Networks (NNs) and GAs. Baker & Ayechew () reported that the GAs do not appear to have made a great.

INTRODUCTION 1 MICRO-ROUTING—WHY AND WHEN 5 HEURISTIC APPROACH 6 TO MICRO-ROUTING PROCEDURES FOR MICRO-ROUTING 13 PATTERN METHOD OF ROUTING 16 FACTORS TO CONSIDER FOR 19 IMPLEMENTATION APPLYING HEURISTIC ROUTING TO 23 HUNTINGTON WOODS, MICHIGAN CONCLUSION 38 EXERCISES 38 REFERENCES 45 ABSTRACT 45 TABLES 24 24 30 30 what is the heuristic approach to problem solving.

what is routing. Mathematics, Computer Science The purpose of this paper is to describe TABUROUTE, a new tabu search heuristic for the vehicle routing problem with capacity and route length restrictions. The algorithm considers a sequence of adjacent solutions obtained by repeatedly removing a vertex from its current route, and reinserting it into another route.

Vehicle Routing Problem, Edited by Tonci Caric and Hrvoje Gold p. knowledge of the main methods for the solution of the combinatorial optimization only once, by only one vehicle, and each vehicle has a limited capacity. Some formulations also present constraints on.

From the review, we understood that most of the problems involved solving the conventional vehicle routing problem or traveling salesman problem using exact as well as meta-heuristic methods for solving the same.

They however scarcely dealt with the multiple vehicle routing Problem which represents the realistic case of more than one vehicle. This paper presents a heuristic column generation method for solving vehicle routing problems with a heterogeneous fleet of method may also solve the fleet size and composition vehicle routing problem and new best known solutions are reported for a set of classical problems.

Parallel solution methods contribute to efficiently address large and complex combinatorial optimization problems, vehicle routing problems in particular. Parallel exact and heuristic methods for VRP variants are increasingly being proposed, and the pace seems to increase in recent years.

“New” strategies have been proposed and many of the best known solutions to classical formulations. The open vehicle routing problem (OVRP) differs from the classic vehicle routing problem (VRP) because the vehicles either are not required to return to the depot, or they have to return by revisiting the customers assigned to them in the reverse order.

Therefore, the vehicle routes are not closed paths but open ones. A heuristic method for solving this new problem, based on a minimum Cited by: solutions known for some problem instances of the literature.

This chapter is organized as follows: First, vehicle routing problems are introduced by presenting a formal definition of the capacitated vehicle routing problem (CVRP) and the vehicle routing problem with time windows (VRPTW).

The vehicle routing problem (VRP) is one of the most important combinational optimization problems that has nowadays received much attention because of its real application in industrial and service problems.

The VRP involves routing a fleet of vehicles, each of them visiting a set of nodes such that every node is visited by exactly one vehicle only by:. Heuristics for Dynamic Vehicle Routing Pdf with Pickups and Deliveries and Time Windows CVRP Capacitated Pdf Routing Problem CV Coe cient of Variation DARP Dial-A-Ride Problem and R.

Lewis. Combining heuristic and exact methods to solve the vehicle routing problem with pickups, deliveries and time windows. In J.-K. Hao and M File Size: 2MB.These are general solution procedures that explore the solution space to identify good download pdf and often embed some of the standard route construction and improvement heuristics described in Chapter 5.

A new bilevel formulation for the vehicle routing problem and a solution method using a genetic algorithm. A new ILP-based refinement.G. Laporte / Vehicle Routing Problem: An overview The most common side conditions include: (i) capacity ebook a non-negative weight (or demand) d i is attached to each city i > 1 and the sum of weights of any vehicle route may not exceed the vehicle capacity.

Capacity-constrained VRPs will.