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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
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Citations

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Readers on

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14 Mendeley
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Title
Control of Traffic Systems in Buildings
Published by
Springer London, November 2006
DOI 10.1007/1-84628-449-x
ISBNs
978-1-84628-448-9, 978-1-84628-449-6
Authors

Markon, Sandor, Kise, Hiroshi, Kita, Hajime, Bartz-Beielstein, Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Arab Emirates 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Other 2 14%
Professor > Associate Professor 2 14%
Researcher 2 14%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 4 29%
Unknown 2 14%
Readers by discipline Count As %
Engineering 5 36%
Mathematics 2 14%
Arts and Humanities 1 7%
Medicine and Dentistry 1 7%
Energy 1 7%
Other 0 0%
Unknown 4 29%