Non-Fiction Books:

Multilevel Optimization: Algorithms and Applications

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Description

Researchers working with nonlinear programming often claim "the word is nonĀ­ linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncerĀ­ tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierarĀ­ chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierarĀ­ chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of optiĀ­ mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level).
Release date Australia
September 17th, 2011
Audience
  • Professional & Vocational
Contributors
  • Edited by A. Migdalas
  • Edited by Panos M. Pardalos
  • Edited by Peter Varbrand
Edition
Softcover reprint of the original 1st ed. 1998
Illustrations
XXII, 386 p.
Pages
386
Dimensions
160x240x21
ISBN-13
9781461379898
Product ID
20768458

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