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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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| Σειρά: | Studies in Computational Intelligence,
144 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
