Heuristics, metaheuristics and approximate methods in planning and scheduling [electronic resource].
2016
QA76.9.A43
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Unlimited
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Can lend chapters, not whole ebooks
Details
Title
Heuristics, metaheuristics and approximate methods in planning and scheduling [electronic resource].
Edition
1st ed. 2016.
ISBN
9783319260242 (electronic book)
3319260243 (electronic book)
3319260227
9783319260228
3319260243 (electronic book)
3319260227
9783319260228
Publication Details
[S.l.] : Springer, 2016.
Language
English
Description
1 online resource.
Call Number
QA76.9.A43
Dewey Decimal Classification
005.1
Summary
The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Added Author
Rabadi, Ghaith.
Series
International series in operations research & management science ; Volume 236.
Available in Other Form
Print version: 9783319260228
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