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Integrated Methods for Optimization (Paperback, 2nd ed. 2012)
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Integrated Methods for Optimization (Paperback, 2nd ed. 2012)
Series: International Series in Operations Research & Management Science, 170
Expected to ship within 10 - 15 working days
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The first edition of Integrated Methods for Optimization was
published in January 2007. Because the book covers a rapidly
developing field, the time is right for a second edition. The book
provides a unified treatment of optimization methods. It brings
ideas from mathematical programming (MP), constraint programming
(CP), and global optimization (GO)into a single volume. There is no
reason these must be learned as separate fields, as they normally
are, and there are three reasons they should be studied together.
(1) There is much in common among them intellectually, and to a
large degree they can be understood as special cases of a single
underlying solution technology. (2) A growing literature reports
how they can be profitably integrated to formulate and solve a wide
range of problems. (3) Several software packages now incorporate
techniques from two or more of these fields. The book provides a
unique resource for graduate students and practitioners who want a
well-rounded background in optimization methods within a single
course of study. Engineering students are a particularly large
potential audience, because engineering optimization problems often
benefit from a combined approach-particularly where design,
scheduling, or logistics are involved. The text is also of value to
those studying operations research, because their educational
programs rarely cover CP, and to those studying computer science
and artificial intelligence (AI), because their curric ula
typically omit MP and GO. The text is also useful for practitioners
in any of these areas who want to learn about another, because it
provides a more concise and accessible treatment than other texts.
The book can cover so wide a range of material because it focuses
on ideas that arerelevant to the methods used in general-purpose
optimization and constraint solvers. The book focuses on ideas
behind the methods that have proved useful in general-purpose
optimization and constraint solvers, as well as integrated solvers
of the present and foreseeable future. The second edition updates
results in this area and includes several major new topics:
Background material in linear, nonlinear, and dynamic programming.
Network flow theory, due to its importance in filtering algorithms.
A chapter on generalized duality theory that more explicitly
develops a unifying primal-dual algorithmic structure for
optimization methods. An extensive survey of search methods from
both MP and AI, using the primal-dual framework as an organizing
principle. Coverage of several additional global constraints used
in CP solvers. The book continues to focus on exact as opposed to
heuristic methods. It is possible to bring heuristic methods into
the unifying scheme described in the book, and the new edition will
retain the brief discussion of how this might be done.
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