The field of metaheuristics has been fast evolving in recent years.
Techniques such as simulated annealing, tabu search, genetic
algorithms, scatter search, greedy randomized adaptive search,
variable neighborhood search, ant systems, and their hybrids are
currently among the most efficient and robust optimization
strategies to find high-quality solutions to many real-life
optimization problems. A very large number of successful
applications of metaheuristics are reported in the literature and
spread throughout many books, journals, and conference proceedings.
A series of international conferences entirely devoted to the
theory, applications, and computational developments in
metaheuristics has been attracting an increasing number of
participants, from universities and the industry. Essays and
Surveys in Metaheuristics goes beyond the recent
conference-oriented volumes in Metaheuristics, with its focus on
surveys of recent developments of the main metaheuristics.
Well-known specialists have written surveys on the following
subjects: simulated annealing (E. Aarts and J. Korst, The
Netherlands), noising methods (I. Charon and O.Hudry, France),
strategies for the parallel implementation of metaheuristics (V.-D.
Cung and C. Roucairol, France, and S.L. Martins and C.C. Ribeiro,
Brazil), greedy randomized adaptive search procedures (P. Festa,
Italy, and M.G.C. Resende, USA), tabu search (M. Gendreau, Canada),
variable neighborhood search (P. Hansen and N. Mladenovic, Canada),
ant colonies (V. Maniezzo and A. Carbonaro, Italy), and
evolutionary algorithms (H. Muhlenbein and Th. Mahnig, Germany).
Several further essays address issues or variants of
metaheuristics, as well as innovative or successful applications of
metaheuristics to classical or new combinatorial optimization
problems.
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