Bio-inspired Algorithms for the Vehicle Routing Problem
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...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Studies in Computational Intelligence
161 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bio-inspired Algorithms for the Vehicle Routing Problem, Texte imprimé, 9783642098871 • Bio-inspired Algorithms for the Vehicle Routing Problem, Texte imprimé, 9783540873372 • Bio-inspired algorithms for the vehicle routing problem, Francisco Baptista Pereira, Jorge Tavares (eds.), Berlin, Springer, 2009, 1 vol. (XV- 213 p.), Studies in computational intelligence, 978-3-540-85151-6 |
Obsah:
- 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.