Bio-inspired Algorithms for the Vehicle Routing Problem

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pereira, Francisco Babtista. (Editor), Tavares, Jorge. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 161
• Subjects: Engineering.; Software engineering.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Software Engineering.; Operations Research/Decision Theory.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-85152-3

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.