The basic problem of vehicle routing is a classical operations research problem, known to be nphard leung et al. Vehicle routing problems vrps concern the transport of items between depots and customers by means of a fleet of vehicles. An integral evolutionary methodology for the inventory and transportation problem. The quality of the solutions produced by metaheuristics is typically much higher. As a first step, a general presentation intends to make the reader more familiar with the related field of logistics and combinatorial optimization. Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. Energy minimizing vehicle routing problem, metaheuristics, strategic transport. Those methods are exposed according to their feature of working either on a sequence of single solutions, or on a set of solutions, or even by hybridizing metaheuristic approaches with others kind of methods. The mpvrp combines vehicle routing problems with packing and scheduling problems. What is a metaheuristic iran university of science and.
In the book edited by toth and vigo 37, the chapters of toth. A categorized bibliography michel gendreau1, jeanyves potvin1, olli braysy2, geir hasle3, arne lokketangen4 1. An effective search framework combining metaheuristics to solve the. It consists in determining a leastcost set of routes from a depot for a fleet of capacitated vehicles in order to meet the demands of a set of customers. Several solution methods to tackle the vrpcb based on metaheuristics can be found in the literature. The vrptw can be described as the problem of designing least cost routes from one depot to a set of geographically scattered points. This article deals with the modified multidepot vehicle routing problem mdvrp. Paper open access a new metaheuristics for solving. The vehicle routing problem society for industrial and. The objective is to design an optimal set of routes that services all customers and satisfies the given constraints, especially the time window constraints. Capacity may be restricted in terms of weight, volume, number of pallet places, etc.
Vehicle routing problem with time windows, part ii. One of the most studied classes of problems in applications of o. Metaheuristics have become the solution strategy of choice for many. Read metaheuristics for vehicle routing problems by nacima labadie available from rakuten kobo. Every vehicle visits a number of customers in a certain order along its route, and then returns to its depot. Examining the recent progress on metaheuristics for the cvrp, little has changed in recent years concerning intraroute neighborhood search. Hartl1, manuel iori3 1 institute for management science, university of vienna, bruenner. Metaheuristics for vehicle routing problems wiley online. A general heuristic for vehicle routing problems david pisinger. Metaheuristics for vehicle routing problems labadie. Simple heuristics and local search procedures are important components of metaheuristics for vehicle routing problems vrp. Some of the most recent and efficient metaheuristics for vehicle routing problems reach solutions within 0.
Pdf solving vehicle routing problems using constraint. A taxonomy of papers concerning dvrp problems was developed in 8. Hybrid metaheuristics for the clustered vehicle routing. Pdf metaheuristics for vehicle routing problems with. This report surveys the research on the metaheuristics for the vehicle routing problem with time windows vrptw. Many exact and heuristic algorithms have been developed for the vehicle routing problem vrp. More precisely, the algorithm succesfully solves problems with diverse attributes, such as multiple depots and periods vidal et al. The core constraints in vehicle routing problems are related to time and capacity. This paper presents a methodology based on the variable neighbourhood search metaheuristic, applied. Metaheuristics for vehicle routing problems by nacima. Assemblyline balancing problems vehicle routing and scheduling problems facility location problems facility layout design problems job sequencing and machine scheduling problems manpower planning problems production planning and distribution.
The vehicle routing problem vrp dates back to the end of the fifties of the last. The generated new best known solutions indicate that evolution strategies are effective in reducing both the number of vehicles and the total travel distance. Pdf metaheuristics for the vehicle routing problem with. Vehicle routing problems vrps concern the transport of items between depots and customers by means of a. Heuristics, metaheuristics, and hyperheuristics for rich.
The basic vehicle routing problem with time windows vrptw is further extended and the time dependent vehicle routing problem with time windows is studied and the efficiency of implementation using genetic algorithm and tabu search metaheuristics techniques is carried out and is compared. Two evolutionary metaheuristics for the vehicle routing problem. This chapter presents a few classical heuristics before explaining the principles of local search, taking the capacitated vrp cvrp as the main example. The overview of these fundamentals allows appreciating the core of the work devoted to an analysis of metaheuristic methods for vehicle routing problems.
Several implementations are given as illustrative examples, along with applications to several typical vehicle routing problems. Metaheuristics is an enhancement of classical heuristics with emphasis on deep exploration of the solution space. Metaheuristics for vehicle routing problems request pdf. Osman and wassan 2002 suggest a reactive tabu search heuristic. Request pdf metaheuristics for vehicle routing problems this book is dedicated to metaheuristics as applied to vehicle routing problems. The vehicle routing problem vrp calls for the determination of the optimal set of routes to be performed by a fleet of vehicles to serve a given set of customers, and it is one of the most important, and studied, combinatorial optimization problems. Interuniversity research centre on enterprise networks, logistics and transportation. These methods are also more robust in the sense that they can be more easily adapted to deal with a variety of side constraints.
Although this method can give the optimal solution, for large problems, the time needed to find the optimal can be prohibitive. Metaheuristics for vehicle routing problems ebook by. Those methods are exposed according to their feature of working either on a sequence of single solutions, or on a set of solutions, or even by hybridizing metaheuristic approaches with others. Several implementations are given as illustrative examples, along with applications to several typical vehicle. A tabu search metaheuristic algorithm for the multiple. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics. They usually combine sophisticated neighborhood search rules and recombination of solutions. Metaheuristics for vehicle routing problems in searchworks.
Two evolutionary metaheuristics for the vehicle routing. Techniques ranging from linear programming to metaheuristics were designed to address dynamism and uncertainty. More precisely, the algorithm succes fully solves problems with diverse attributes, such as multiple depots and periods vidal. Another problem related to combinatotorial optimization problems that can be solved by pco is traveling salesman problem tsp, vehicle routing problem vrp, and its variants such as the inventory routing problem irp. This paper introduces a method for using local search techniques within a constraint programming framework, and applies this. Tackling dynamic vehicle routing problem with time. Using metaheuristics on the multidepot vehicle routing. Although pco is a new method in metaheuristics, pco in its proof can provide better results than other metaheuristics. Using metaheuristics on the multidepot vehicle routing problem. Evolution strategies, metaheuristics, vehicle routing, time windows. Vehicle routing problems, in particular, exhibit an impressive record of successful metaheuristic implementations. Solving vehicle routing problems using constraint programming and lagrangean relaxation in a metaheuristics framework. More than 40 years have elapsed since dantzig and ramser introduced the problem in 1959.
This algorithm will need to interface with afrigis data. Metaheuristics for vehicle routing problems with loading constraints for wood products karl f. The vehicle routing problem vrp is a combi natorial optimization problem, searchin g to find the optimum route s for delivering the products to customers. Metaheuristics for vehicle routing problems springerlink. Although this method can give the optimal solution, for large problems, the time needed to find the optimal can be. Metaheuristics for vehicle routing problems with threedimensional loading constraints. Metaheuristics for the vehicle routing problem with. This paper surveys the research on the metaheuristics for the vehicle routing problem with time windows vrptw. Constraint programming typically uses the technique of depthfirst branch and bound as the method of solving optimization problems. Metaheuristics for the vehicle routing problem and its. The optimization criterion of the standard mdvrp is to minimize the total sum of routes of all vehicles, whereas the criterion of modified mdvrp mmdvrp is to minimize the longest route of all vehicles, i. Doerner1, guenther fuellerer1, manfred gronalt2, richard f. Stanford libraries official online search tool for books, media, journals, databases, government documents and more. Introduction routing vehicles to collect or delivery goods is a problem which many companies face each day, laying at the heart of many distribution systems.
Metaheuristics for vehicle routing problems with loading. This thesis addresses several challenges for sustainable logistics operations and investigates 1 the integration of intermediate stops in the route planning of transportation vehicles, which especially becomes relevant when alternativefuel vehicles with limited driving range or a sparse refueling infrastructure are considered, 2 the combined planning of the battery replacement. A tabu search metaheuristic algorithm for the multiple depot vehicle routing problem with time windows by. The modification consists of altering the optimization criterion. Pdf vehicle routing problem with time windows, part ii. The vehicle routing problem with time windows vrptw is an extension of the wellknown vehicle routing problem with a central depot. Vehicle routing problems 14 vehicle routing problems are at the core of a huge number of practical applications in the area of the distribution of goods and services.
Hybrid metaheuristics for the vehicle routing problem with. Combinatorial problems examples of realworld combinatorial optimization problems include. Capacitated vrp cvrp is a type of vrp problem where vehicles are assumed. Time is restricted both by the working day and by time windows at customers. Metaheuristics for vehicle routing problems computer. Each customer is served visited just once by any vehicle in a. Let g v,a be a graph metaheuristics for the vehicle routing problem and its extensions.
Vehicle routing, constraint programming, lagrangean relaxation, metaheuristics, variable neighbourhood search, hybrid algorithms. Metaheuristics article pdf available in transportation science 391. Ii classic heuristics and metaheuristics for vehicle routing iii an analysis of winning strategies iv a new generalpurpose solution approach attributebased modular design unified local search unified hybrid genetic search computational experiments. Vehicle routing, metaheuristics, neighborhood search, simulated annealing, diversification.