This book presents models and algorithms for Complex Scheduling problems.
In particular, further generalizations of the RCPSP, additional practical applications and some more algorithms were integrated..
In this second edition some errors were corrected, some parts were explained in more detail, and new material has been added.
Most algorithms are formulated in detail and illustrated with examples.
Furthermore, methods for calculating lower bounds are described.
They are used in exact or heuristic procedures to solve the introduced Complex Scheduling problems.
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.
Besides resource-constrained project Scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed.
This book presents models and algorithms for Complex Scheduling problems
