Multiobjective scheduling by genetic algorithms
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Author
Publication
1999 - Kluwer Academic Publishers, Boston, Massachusetts
Language
English
Word Count
89,500 words, Guess
Page Count
358 pages
Identifiers
- Open LibraryOL20642916M
- ISBN-100792385616
- OCLC Control Number41601301
- Library of Congress Control Number99037211
Classifications
- DDC658.5
- LCCTS157.5 .B33 1999
Description
"Multiobjective Scheduling By Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling situations 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.". "Thus this book is 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."--BOOK JACKET.
Subjects
Topics
Other Editions
- Multiobjective scheduling by genetic algorithms
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