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Multiple Criteria Optimization: State Of The Art Annotated Bibliographic Surveys

Multiple Criteria Optimization: State Of The Art Annotated Bibliographic Surveys

Multiple Criteria Optimization: State Of The Art Annotated Bibliographic Surveys
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Multiple Criteria Optimization: State Of The Art Annotated Bibliographic Surveys Hardback - 2002 - 2002nd Edition

by Ehrgott Matthias Et.Al

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Springer, 2002. Hardcover. New.
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Details

  • Title Multiple Criteria Optimization: State Of The Art Annotated Bibliographic Surveys
  • Author Ehrgott Matthias Et.Al
  • Binding Hardback
  • Edition number 2002nd
  • Edition 2002
  • Condition New
  • Pages 496
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2002
  • Illustrated Yes
  • Features Annotated, Bibliography, Illustrated, Index
  • Bookseller's Inventory # Star-9781402071287
  • ISBN 9781402071287 / 1402071280
  • Weight 2.24 lbs (1.02 kg)
  • Dimensions 9.58 x 6.4 x 1.37 in (24.33 x 16.26 x 3.48 cm)
  • Category Business / Economics / Finance
  • Library of Congress subjects Mathematical optimization, Multiple criteria decision making
  • Library of Congress Catalogue Number 2002069450
  • Dewey Decimal Code 515.64
  • Quantity available 10

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From the publisher

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.

First line

Many practically important problems can be described by a multicriteria optimization problem with more than one objective function.

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