Local search has been applied successfully to a diverse collection of
optimization problems. It's appreciated for its basic conceptual
foundation, its general applicability, and its power to serve as a
source for new search paradigms. The typical characteristics of
combinatorial optimization problems to which local search can be
applied, its relation to complexity theory, and the combination with
randomized search features have led to a wealth of interesting
theoretical results. However, these results are scattered throughout the
literature.
This is the first book that presents a large collection of theoretical
results in a consistent manner, thus providing the reader with a
coherent overview of the achievements obtained so far, but also serving
as a source of inspiration for the development of novel results in the
challenging field of local search.