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 practitioners toapply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. Presents advances of computational intelligence in transportation and logistics INDICE: Part I 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.- Part II Vehicle Routing.- GRASP with Path Relinking for the Capacitated Arc Routing Problem withTime Windows.- A Scatter Search Algorithm for the Split Delivery Vehicle Routing Problem.- Stochastic Local Search Procedures for the Probabilistic Two-DayVehicle 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.- Part III 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.

• ISBN: 978-3-540-69024-5
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 278
• Fecha Publicación: 01/07/2008
• Nº Volúmenes: 1
• Idioma: Inglés