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Automated Scheduling and Planning

From Theory to Practice

  • Book
  • © 2013

Overview

Editors:
  1. A. Sima Uyar

    1. , Elektrik-Elektronik Fakultesi, Istanbul Teknik Universitesi, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  2. Ender Ozcan

    1. , School of Computer Science, University of Nottingham, Nottingham, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  3. Neil Urquhart

    1. , Centre for Emergent Computing, Edinburgh Napier University, Edinburgh, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  • Recent research on Automated Scheduling and Planning
  • Presents theory and praxis
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 505)

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Table of contents (11 chapters)

  1. Front Matter

    Pages 1-13
    Download chapter PDF

  2. Airport Airside Optimisation Problems

    • Jason A. D. Atkin
    Pages 1-37

  3. Instruction Scheduling in Microprocessors

    • Gürhan Küçük, Ä°sa Güney, Dmitry Ponomarev
    Pages 39-60

  4. Sports Scheduling: Minimizing Travel for English Football Supporters

    • Graham Kendall, Stephan Westphal
    Pages 61-90

  5. Educational Timetabling

    • Jeffrey H. Kingston
    Pages 91-108

  6. Automated Shift Design and Break Scheduling

    • Luca Di Gaspero, Johannes Gärtner, Nysret Musliu, Andrea Schaerf, Werner Schafhauser, Wolfgang Slany
    Pages 109-127

  7. Nurse Rostering: A Complex Example of Personnel Scheduling with Perspectives

    • Pieter Smet, Patrick De Causmaecker, Burak Bilgin, Greet Vanden Berghe
    Pages 129-153

  8. Radiotherapy Scheduling

    • Dobrila Petrovic, Elkin Castro, Sanja Petrovic, Truword Kapamara
    Pages 155-189

  9. Recent Advances in Evolutionary Algorithms for Job Shop Scheduling

    • Bahriye Akay, Xin Yao
    Pages 191-224

  10. Multi-objective Grid Scheduling

    • María Arsuaga-Ríos, Miguel A. Vega-Rodríguez
    Pages 225-249

  11. Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach

    • Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
    Pages 251-282

  12. Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach

    • Michalis Mavrovouniotis, Shengxiang Yang
    Pages 283-301

  13. Back Matter

    Pages 303-303
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Keywords

About this book

Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques.The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling.  Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.

Editors and Affiliations

  • , Elektrik-Elektronik Fakultesi, Istanbul Teknik Universitesi, Istanbul, Turkey

    A. Sima Uyar

  • , School of Computer Science, University of Nottingham, Nottingham, United Kingdom

    Ender Ozcan

  • , Centre for Emergent Computing, Edinburgh Napier University, Edinburgh, United Kingdom

    Neil Urquhart

Bibliographic Information

  • Book Title: Automated Scheduling and Planning

  • Book Subtitle: From Theory to Practice

  • Editors: A. Sima Uyar, Ender Ozcan, Neil Urquhart

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-39304-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-39303-7Published: 25 July 2013

  • Softcover ISBN: 978-3-642-43596-6Published: 08 February 2015

  • eBook ISBN: 978-3-642-39304-4Published: 12 July 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 304

  • Topics: Computational Intelligence, Artificial Intelligence

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