Bio-Inspired Algorithms for the Vehicle Routing Problem

ISBN-13: 9783642098871 / Angielski / Miękka / 2010 / 216 str.

Francisco Baptista Pereira; Jorge Tavares

Opis

The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered - mands. A ?eet of vehicles located in one or more depots is available to ful?ll the requests. A large number of variants exist, adding di?erent constraints to the original de?nition. Some examples are related to the number of depots, the ordering for visiting the customers or to time windows specifying a desirable period to arrive to a given location. The original version of this problem was proposed by Dantzig and Ramser in 1959 1]. In their seminal paper, the authors address the calculation of a set of optimal routes for a ?eet of gasoline delivery trucks. Since then, the VRP has attractedtheattentionofalargenumberofresearchers.Aconsiderablepartofits success is a consequence of its practical interest, as it resembles many real-world problems faced everyday by distribution and transportation companies, just to mention a few applications areas. In this context, the development of e?cient optimization techniques is crucial. They are able to provide new and enhanced solutionstologisticoperations, andmaythereforeleadtoasubstantialreduction in costs for companies. Additionally, and from a research oriented perspective, the VRP is a challenging NP-hard problem providing excellent benchmarks to access the e?ciency of new global optimization algorithms

Spis treści

A Review of Bio-inspired Algorithms for Vehicle Routing.- A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem.- An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows.- Using Genetic Algorithms for Multi-depot Vehicle Routing.- Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand.- Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation.- EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem.- A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter.- When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World.

Blurb

The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations.

The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.