Bio-inspired Algorithms for the Vehicle Routing Problem

The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. This book presents a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP.

Comprehensive review of the most relevant bio-inspired approaches to different Vehicle Routing Problem variants

Inhalt
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.