Metaheuristics for Scheduling in Industrial and Manufacturing Applications / Studies in Computational Intelligence Bd.128 (PDF)
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the...
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During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
- 2008, 2008, 346 Seiten, Englisch
- Herausgegeben: Fatos Xhafa, Ajith Abraham
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540789855
- ISBN-13: 9783540789857
- Erscheinungsdatum: 22.08.2008
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- Dateiformat: PDF
- Größe: 4.02 MB
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From the reviews:
"This balanced collection of 13 chapters presents quality research, with each chapter describing an industrial or manufacturing case related to scheduling. … The use of heuristics is very appropriate for most scheduling problems … . The problems, methods, and approaches presented in the book are very diverse, offering a good starting point for solving most practical scheduling problems. … An advantage of the book--the diversity of the problems and solutions presented … ." (Waldemar Koczkodaj, ACM Computing Reviews, October, 2009)
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