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Control of Traffic Systems in Buildings

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Cover of 'Control of Traffic Systems in Buildings'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Passenger Transportation Systems
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    Chapter 3 Cargo Transportation Systems
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    Chapter 4 External Connections and Related Systems
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    Chapter 5 General Modeling Concepts
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    Chapter 6 Queuing Models
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    Chapter 7 Modeling Techniques for Discrete Event Systems
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    Chapter 8 Scheduling Models with Transportation
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    Chapter 9 Analytical and Heuristic Control of Transportation Systems
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    Chapter 10 Adaptive Control by Neural Networks and Reinforcement Learning
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    Chapter 11 Genetic Algorithms for Control-system Optimization
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    Chapter 12 Control System Optimization by Evolution Strategies and Particle Swarm Optimization
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    Chapter 13 Intelligent Control by Combinatorial Optimization
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    Chapter 14 The S-ring: a Transportation System Model for Benchmarking
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    Chapter 15 Elevator Group Control by Neural Networks and Stochastic Approximation
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    Chapter 16 Optimal Control by Evolution Strategies and Particle Swarm Optimization
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    Chapter 17 On Adaptive Cooperation of AGVs and Elevators in Buildings
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    Chapter 18 Optimal Control of Multicar Elevator Systems by Genetic Algorithms
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    Chapter 19 Analysis and Optimization for Automated Vehicle Routing
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    Chapter 20 Tabu-based Optimization for Input/Output Scheduling
Attention for Chapter 17: On Adaptive Cooperation of AGVs and Elevators in Buildings
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Chapter title
On Adaptive Cooperation of AGVs and Elevators in Buildings
Chapter number 17
Book title
Control of Traffic Systems in Buildings
Published by
Springer, London, January 2006
DOI 10.1007/1-84628-449-x_17
Book ISBNs
978-1-84628-448-9, 978-1-84628-449-6