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Adaptive Scalarization Methods in Multiobjective Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2008) Loot Price: R2,653
Discovery Miles 26 530
Adaptive Scalarization Methods in Multiobjective Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2008):...

Adaptive Scalarization Methods in Multiobjective Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Gabriele Eichfelder

Series: Vector Optimization

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Loot Price R2,653 Discovery Miles 26 530 | Repayment Terms: R249 pm x 12*

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In many areas in engineering, economics and science new developments are only possible by the application of modern optimization methods. Theoptimizationproblemsarisingnowadaysinapplicationsaremostly multiobjective, i.e. many competing objectives are aspired all at once. These optimization problems with a vector-valued objective function have in opposition to scalar-valued problems generally not only one minimal solution but the solution set is very large. Thus the devel- ment of e?cient numerical methods for special classes of multiobj- tive optimization problems is, due to the complexity of the solution set, of special interest. This relevance is pointed out in many recent publications in application areas such as medicine ([63, 118, 100, 143]), engineering([112,126,133,211,224],referencesin[81]),environmental decision making ([137, 227]) or economics ([57, 65, 217, 234]). Consideringmultiobjectiveoptimizationproblemsdemands?rstthe de?nition of minimality for such problems. A ?rst minimality notion traces back to Edgeworth [59], 1881, and Pareto [180], 1896, using the naturalorderingintheimagespace.A?rstmathematicalconsideration ofthistopicwasdonebyKuhnandTucker[144]in1951.Sincethattime multiobjective optimization became an active research ? eld. Several books and survey papers have been published giving introductions to this topic, for instance [28, 60, 66, 76, 112, 124, 165, 188, 189, 190, 215]. Inthelastdecadesthemainfocuswasonthedevelopmentofinteractive methods for determining one single solution in an iterative process.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Vector Optimization
Release date: October 2010
First published: 2008
Authors: Gabriele Eichfelder
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Paperback
Pages: 241
Edition: Softcover reprint of hardcover 1st ed. 2008
ISBN-13: 978-3-642-09804-8
Categories: Books > Science & Mathematics > Mathematics > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
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LSN: 3-642-09804-5
Barcode: 9783642098048

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