Advances in computational intelligence in transport, logistics, and supply chain management
The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and pract...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2008. |
| Serier: | Studies in Computational Intelligence
144 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management, Texte imprimé, 9783642088582 • Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management, Texte imprimé, 9783540864806 • Advances in computational intelligence in transport, logistics, and supply chain management, Andreas Fink, Franz Rothlauf (eds.), Berlin, Springer, 2008, 1 vol. (XII-275 p.), Studies in computational intelligence, 978-3-540-69024-5 |
Indholdsfortegnelse:
- Traffic and Transport Networks Combined Genetic Computation of Microscopic Trip Demand in Urban Networks Genetically Optimized Infrastructure Design Strategies in Degradable Transport Networks Genetic Algorithm for Constraint Optimal Toll Ring Design Real Time Identification of Road Traffic Control Measures Simultaneous Airline Scheduling Vehicle Routing GRASP with Path Relinking for the Capacitated Arc Routing Problem with Time Windows A Scatter Search Algorithm for the Split Delivery Vehicle Routing Problem Stochastic Local Search Procedures for the Probabilistic Two-Day Vehicle Routing Problem The Oil Drilling Model and Iterative Deepening Genetic Annealing Algorithm for the Traveling Salesman Problem Online Transportation and Logistics Using Computationally Intelligent Anticipation Supply Chain Management Supply Chain Inventory Optimisation with Multiple Objectives: An Industrial Case Study Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs Hybrid Genetic Algorithms for the Lot Production and Delivery Scheduling Problem in a Two-Echelon Supply Chain.