One of the most frequently occurring types of optimization problems
involves decision variables which have to take integer values. From
a practical point of view, such problems occur in countless areas
of management, engineering, administration, etc., and include such
problems as location of plants or warehouses, scheduling of
aircraft, cutting raw materials to prescribed dimensions, design of
computer chips, increasing reliability or capacity of networks,
etc. This is the class of problems known in the professional
literature as "discrete optimization" problems. While these
problems are of enormous applicability, they present many
challenges from a computational point of view. This volume is an
update on the impressive progress achieved by mathematicians,
operations researchers, and computer scientists in solving discrete
optimization problems of very large sizes. The surveys in this
volume present a comprehensive overview of the state of the art in
discrete optimization and are written by the most prominent
researchers from all over the world.
This volume describes the tremendous progress in discrete
optimization achieved in the last 20 years since the publication of
Discrete Optimization '77, Annals of Discrete Mathematics, volumes
4 and 5, 1979 (Elsevier). It contains surveys of the state of the
art written by the most prominent researchers in the field from all
over the world, and covers topics like neighborhood search
techniques, lift and project for mixed 0-1 programming,
pseudo-Boolean optimization, scheduling and assignment problems,
production planning, location, bin packing, cutting planes, vehicle
routing, and applications to graph theory, mechanics, chip design,
etc.
Key features:
state of the art surveys
comprehensiveness
prominent authors
theoretical, computational and applied aspects.
This book is a reprint of "Discrete Applied Mathematics" Volume 23,
Numbers 1-3
"
General
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