© 1999

Multiobjective Scheduling by Genetic Algorithms


Table of contents

  1. Front Matter
    Pages i-xiii
  2. Tapan P. Bagchi
    Pages 1-18
  3. Tapan P. Bagchi
    Pages 19-54
  4. Tapan P. Bagchi
    Pages 55-76
  5. Tapan P. Bagchi
    Pages 77-108
  6. Tapan P. Bagchi
    Pages 109-135
  7. Tapan P. Bagchi
    Pages 136-146
  8. Tapan P. Bagchi
    Pages 171-202
  9. Tapan P. Bagchi
    Pages 203-215
  10. Tapan P. Bagchi
    Pages 256-266
  11. Tapan P. Bagchi
    Pages 267-276
  12. Tapan P. Bagchi
    Pages 277-291
  13. Back Matter
    Pages 293-358

About this book


Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth.
Multiobjective flowshops, job shops and open shops are each highly relevant models in manufacturing, classroom scheduling or automotive assembly, yet for want of sound methods they have remained almost untouched to date. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Also it accents the value of hybridizing Gas with both solution-generating and solution-improvement methods. It envisions fundamental research into such methods, greatly strengthening the growing reach of metaheuristic methods.
This book is therefore intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.


Manufacturing algorithms genetic algorithms modeling operations research optimization production scheduling

Authors and affiliations

  1. 1.Indian Institute of Technology KanpurIndia

Bibliographic information

  • Book Title Multiobjective Scheduling by Genetic Algorithms
  • Authors Tapan P. Bagchi
  • DOI
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-7923-8561-5
  • Softcover ISBN 978-1-4613-7387-2
  • eBook ISBN 978-1-4615-5237-6
  • Edition Number 1
  • Number of Pages XIII, 358
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Operations Management
    Operations Research/Decision Theory
  • Buy this book on publisher's site
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