Scheduling Algorithms
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Beschreibung
Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are summarized.
In the third edition of the book the complexity status of the different classes of scheduling problems is updated and corresponding references are added. New polynomial algorithms for single machine problems with release times and constant processing times are added.
Algorithms for classical and complex scheduling problems
New results on scheduling problems arising in flexible manufacturing
An extensive overview of the area of scheduling
Autor*in
Peter Brucker
Themen in »Scheduling Algorithms«
Ablaufplanung Algorithmen Diskrete Optimierung Komplexität algorithms combinatorial optimization complexity discrete optimization heuristics linear optimization optimization programming scheduling
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From the reviews of the fourth edition:
"This is a book about scheduling algorithms. … The book contains eleven chapters. … Most of the chapters contain the summarized complexity results. In this edition the complexity columns have been updated. The book is completed by the bibliography which also has been updated and now contains 198 references. The book is well organized. It will be useful for specialists in scheduling theory and in combinatorial optimization." (I.N. Lushchakova, Zentralblatt MATH, Vol. 1060, 2005)
From the reviews of the fifth edition:
"One of the competitive books on the theory of machine scheduling in the market, this book, now in its fifth edition, was first published in 1995. … This book is theoretically oriented with little treatment of practical issues. It is suitable for researchers and graduate students in mathematics, computer science, operations research, management science, and industrial engineering. … To summarize, this is an excellent theoretically oriented reference book written by an expert on the classical results of deterministic machine scheduling." (Donglei Du, SIAM Review, Vol. 50 (1), 2008)
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