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 (14 chapters)

  • Memetic Algorithms in Planning, Scheduling, and Timetabling

    Carlos Cotta, Antonio J. Fernàndez

    Pages 1-30

    Preview Buy Chapter 30,19 €
  • Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes

    Mark P. Kleeman, Gary B. Lamont

    Pages 49-99

    Preview Buy Chapter 30,19 €
  • A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling

    José Antonio Vàzquez Rodríguez, Abdellah Salhi

    Pages 125-142

    Preview Buy Chapter 30,19 €
  • An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem

    Kazi Shah Nawaz Ripon, Chi-Ho Tsang, Sam Kwong

    Pages 165-195

    Preview Buy Chapter 30,19 €
  • Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem

    Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca

    Pages 197-236

    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