Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 510)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques provides results that prove such approaches can become viable alternatives to orthodox solutions to the scheduling problem, which are mostly based on heuristics. Although heuristics are robust and reliable when solving certain instances of the scheduling problem, they do not perform well when one needs to obtain solutions to general forms of the scheduling problem. On the other hand, techniques inspired by natural phenomena have been successfully applied for solving a wide range of combinatorial optimization problems (e.g. traveling salesman, graph partitioning). The success of these methods motivated their use in this book to solve scheduling problems that are known to be formidable combinatorial problems.
Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques is an excellent reference and may be used for advanced courses on the topic.
Authors and Affiliations
Bibliographic Information
Book Title: Scheduling in Parallel Computing Systems
Book Subtitle: Fuzzy and Annealing Techniques
Authors: Shaharuddin Salleh, Albert Y. Zomaya
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-5065-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-7923-8533-2Published: 31 May 1999
Softcover ISBN: 978-1-4613-7303-2Published: 11 October 2012
eBook ISBN: 978-1-4615-5065-5Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIII, 170
Topics: Processor Architectures, Theory of Computation, Mathematical Logic and Foundations