Scheduling Algorithms [Paperback]

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. Discussion also extends to multiprocessor task scheduling and problems with multi-purpose machines. Among the methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. The text goes on to summarize complexity results for different classes of deterministic scheduling problems.

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.Classification of Scheduling Problems.- Some Problems in Combinatorial Optimization.- Computational Complexity.- Single Machine Scheduling Problems.- Parallel Machines.- Shop Scheduling Problems.- Due-Date Scheduling.- Batching Problems.- Changeover Times and Transportation Times.- Multi-Purpose Machines.- Multiprocessor Tasks.

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)