Studies in Computational Intelligence

Evolutionary Scheduling

Editors: Dahal, Keshav, Tan, Kay Chen, Cowling, Peter I. (Eds.)

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About this book

Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the advent of computation intelligence, there is renewed interest in solving scheduling problems using evolutionary computational techniques. These techniques, which include genetic algorithms, genetic programming, evolutionary strategies, memetic algorithms, particle swarm optimization, ant colony systems, etc, are derived from biologically inspired concepts and are well-suited to solve scheduling problems since they are highly scalable and flexible in terms of handling constraints and multiple objectives. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling, and demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems. The intended readers of this book are engineers, researchers, practitioners, senior undergraduates, and graduate students who are interested in the field of evolutionary scheduling.

Table of contents (22 chapters)

  • Memetic Algorithms in Planning, Scheduling, and Timetabling

    Cotta, Carlos (et al.)

    Pages 1-30

    Preview Buy Chapter 30,19 €
  • Landscapes, Embedded Paths and Evolutionary Scheduling

    Reeves, Colin R.

    Pages 31-48

  • Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes

    Kleeman, Mark P. (et al.)

    Pages 49-99

    Preview Buy Chapter 30,19 €
  • Designing Dispatching Rules to Minimize Total Tardiness

    Tay, Joc Cing (et al.)

    Pages 101-124

  • A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling

    Rodríguez, José Antonio Vàzquez (et al.)

    Pages 125-142

    Preview Buy Chapter 30,19 €

Buy this book

eBook 166,59 €
price for Spain (gross)
  • ISBN 978-3-540-48584-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 202,79 €
price for Spain (gross)
  • ISBN 978-3-540-48582-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 202,79 €
price for Spain (gross)
  • ISBN 978-3-642-08017-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Scheduling
Editors
  • Keshav Dahal
  • Kay Chen Tan
  • Peter I. Cowling
Series Title
Studies in Computational Intelligence
Series Volume
49
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-48584-1
DOI
10.1007/978-3-540-48584-1
Hardcover ISBN
978-3-540-48582-7
Softcover ISBN
978-3-642-08017-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 628
Topics