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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2009. |
| سلاسل: | Studies in Computational Intelligence
161 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
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 |
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| 100 | 1 | |a Pereira, Francisco Baptista. | |
| 245 | 1 | 0 | |a Bio-inspired Algorithms for the Vehicle Routing Problem |c edited by Francisco Babtista Pereira, Jorge Tavares. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 161 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 776 | 0 | |t Bio-inspired Algorithms for the Vehicle Routing Problem |b Texte imprimé |z 9783642098871 | |
| 776 | 0 | |t Bio-inspired Algorithms for the Vehicle Routing Problem |b Texte imprimé |z 9783540873372 | |
| 776 | 0 | |0 139926577 |t Bio-inspired algorithms for the vehicle routing problem |f Francisco Baptista Pereira, Jorge Tavares (eds.) |c Berlin |n Springer |d 2009 |p 1 vol. (XV- 213 p.) |s Studies in computational intelligence |z 978-3-540-85151-6 | |
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