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Scheduling Algorithms [Hardcover]

Peter Brucker (Author), P. Brucker (Author)


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Hardcover, January 2001 --  
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Book Description

3540415106 978-3540415107 January 2001 3
Besides scheduling problems for single and parallel machines and shop scheduling problems, this 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 proces- sing times are added.

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Editorial Reviews

Review

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) --This text refers to an alternate Hardcover edition.

From the Back Cover

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 multi-purpose 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 different classes of deterministic scheduling problems are summerized. --This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 377 pages
  • Publisher: Springer; 3 edition (January 2001)
  • Language: English
  • ISBN-10: 3540415106
  • ISBN-13: 978-3540415107
  • Product Dimensions: 9.5 x 6.5 x 1 inches
  • Shipping Weight: 1.5 pounds
  • Amazon Best Sellers Rank: #8,521,261 in Books (See Top 100 in Books)

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Inside This Book (learn more)
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First Sentence:
The theory of scheduling is characterized by a virtually unlimited number of problem types (see, e.g. Baker [11], Blazewicz et al. [24], Coffman [63], Conway et al. [66], French [86], Lenstra [144] , Pinedo [172], Rinnooy Kan [173], Tanaev et al. [185], Tanaev et al. [186]). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
general shop problem, nondecreasing processing times, nondecreasing due dates, batching problems, open shop problem, modified due dates, multiprocessor task scheduling problems, arbitrary processing times, smallest due date, path from the initial vertex, parallel machine problems, disjunctive arcs, single machine problems, unit processing times, job shop problem, flow shop problems, regular objective function, pseudopolynomial algorithm, multiprocessor tasks, conjunctive arcs, single machine scheduling problems, optimal solution value, machine repetition, identical parallel machines, shop scheduling problems
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Rinnooy Kan, Cmax Brucker, Algorithm Shortest Path, Cmax Timkovsky, Procedure Conflict, Algorithm Assignment, Lmax Brucker, Lmax Lawler, Procedure Select, Schedule Oii, Algorithm Blocks, Algorithm Branch-and-Bound, Algorithm Improving Heads, Algorithm Modify, Application of Algorithm, Cmax Gonzalez, Minimax Criteria
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