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Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management - Fink Andreas
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.
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