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Multiple Criteria Optimization - State of the Art Annotated Bibliographic Surveys (Paperback, Softcover reprint of the original 1st ed. 2003)
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Multiple Criteria Optimization - State of the Art Annotated Bibliographic Surveys (Paperback, Softcover reprint of the original 1st ed. 2003)
Series: International Series in Operations Research & Management Science, 52
Expected to ship within 10 - 15 working days
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The generalized area of multiple criteria decision making (MCDM)
can be defined as the body of methods and procedures by which the
concern for multiple conflicting criteria can be formally
incorporated into the analytical process. MCDM consists mostly of
two branches, multiple criteria optimization and multi-criteria
decision analysis (MCDA). While MCDA is typically concerned with
multiple criteria problems that have a small number of alternatives
often in an environment of uncertainty (location of an airport,
type of drug rehabilitation program), multiple criteria
optimization is typically directed at problems formulated within a
mathematical programming framework, but with a stack of objectives
instead of just one (river basin management, engineering component
design, product distribution). It is about the most modern
treatment of multiple criteria optimization that this book is
concerned. I look at this book as a nicely organized and
well-rounded presentation of what I view as "new wave" topics in
multiple criteria optimization. Looking back to the origins of
MCDM, most people agree that it was not until about the early 1970s
that multiple criteria optimization c- gealed as a field. At this
time, and for about the following fifteen years, the focus was on
theories of multiple objective linear programming that subsume
conventional (single criterion) linear programming, algorithms for
characterizing the efficient set, theoretical vector-maximum dev-
opments, and interactive procedures.
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