Ebook: Complex Scheduling
- Tags: Operations Research/Decision Theory, Algorithm Analysis and Problem Complexity, Algorithms, Optimization, Computational Science and Engineering
- Series: GOR-publications
- Year: 2012
- Publisher: Springer-Verlag Berlin Heidelberg
- City: Dordrecht
- Edition: 2
- Language: English
- pdf
This book presents models and algorithms for complex scheduling problems. Besides resource-constrained project scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed. Discrete optimization methods like linear and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search and genetic algorithms, and dynamic programming are presented. They are used in exact or heuristic procedures to solve the introduced complex scheduling problems. Furthermore, methods for calculating lower bounds are described. Most algorithms are formulated in detail and illustrated with examples.
In this second edition some errors were corrected, some parts were explained in more detail, and new material has been added. In particular, further generalizations of the RCPSP, additional practical applications and some more algorithms were integrated.
This book describes models and algorithms for complex scheduling problems. It presents key algorithms in detail and includes examples. This second revised edition includes new material, in particular, further generalizations of the RCPSP.