In 1995 the Handbook of Global Optimization (first volume),
edited by R. Horst, and P.M. Pardalos, was published. This second
volume of the Handbook of Global Optimization is comprised of
chapters dealing with modern approaches to global optimization,
including different types of heuristics. Together (available as a
set, set ISBN 1-4020-0742-6), the two volumes of the handbook cover
a complete and broad spectrum of approaches for dealing with global
optimization problems.
The goal of the editors is to provide a true handbook that does
not focus on particular applications of the heuristics and
algorithms, but rather describes the state of the art for the
different methodologies. Topics covered in the handbook include
various metaheuristics, such as simulated annealing, genetic
algorithms, neural networks, taboo search, shake-and-bake methods,
and deformation methods. In addition, the book contains chapters on
new exact stochastic and deterministic approaches to continuous and
mixed-integer global optimization, such as stochastic adaptive
search, two-phase methods, branch-and-bound methods with new
relaxation and branching strategies, algorithms based on local
optimization, and dynamical search. Finally, the book contains
chapters on experimental analysis of algorithms and software, test
problems, and applications.
Audience: Graduate students in engineering and operations
research, academic research, as well as practitioners, who can
tailor the general approaches described in the handbook to their
specific needs and applications.
General
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