Bio-inspired Algorithms for the Vehicle Routing Problem

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pereira, Francisco Babtista (Editor), Tavares, Jorge (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 161
• Subjects: Engineering.; Operations research.; Decision making.; Software engineering.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Software Engineering.; Operation Research/Decision Theory.

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 deve...

Table of Contents:

• 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.