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Part I: Transportation Systems.- Introduction.- Passenger Transportation Systems.- Cargo Transportation Systems.- External Connections and Related Systems.- Part II: Modeling and Simulation.- General Modeling Concepts.- Queuing Models.- Modeling Techniques for Discrete Event Systems.- Scheduling Models with Transportation.- Part III: Intelligent Control Methods for Transportation Systems.- Analytical and Heuristic Control of Transportation Systems.- Adaptive Control by Neural Networks and Reinforcement Learning.- Genetic Algorithms for Control System Optimization.- Control Systems by Evolutionary Strategies and Particle Swarm Optimization.- Intelligent Control by Combinatorial Optimization.- Part IV: Topics in Modern Control for Transportation Systems.- The 'S-ring': A Transportation System Model for Benchmarking.- Elevator Group Control by Neural Networks and Stochastic Approximation.- Optimal Control by Evolutionary Strategies and Particle Swarm Optimisation.- AGVs and Elevators in High-rise Buildings.- Optimal Control of Multi-car Elevator Systems by Genetic Algorithms.- Analysis and Optimization for Automated Vehicle Routing on Single Loop.- Tabu-based Optimization for Input/Output Scheduling in a Single Warehouse.- Program Listings.
Sandor Markon has 25 years experience as a designer, researcher and manager dealing with control systems with major elevator manufacturers. He is also active in publishing papers and abstracts in related fields. He has been involved in the installation of four generations of elevator systems in buildings world-wide. The current volume would gathers that knowledge together with that of other researchers currently scattered in short articles, patent disclosures, etc., into one place.