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Metaheuristics for Scheduling in Industrial and Manufacturing Applications / Fatos Xhafa, Ajith Abraham editors

Contributor(s): Material type: TextSeries: Studies in computational intelligence ; Volume 128Publisher: Berlin, Springer, [2008]Copyright date: ©2008Edition: 1st ed. 2008Description: xxiv. 346 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9783540789840
Subject(s): DDC classification:
  • 23 658.5 XHA
Summary: 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
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Gifted Books Sai University Library General stacks SOAI 658.5 XHA (Browse shelf(Opens below)) Available G3037

Gifted by Professor Ajith Abraham

Includes bibliographical references and index

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

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