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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Sequential Approximate Multiobjective Optimization Using Computational Intelligence
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Sequential Approximate Multiobjective Optimization Using Computational Intelligence
Hirotaka Nakayama (Gebundene Ausgabe, Englisch)
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Beschreibung
Many kinds of practical problems such as engineering design, industrial m- agement and ?nancial investment have multiple objectives con?icting with eachother. Thoseproblemscanbeformulatedasmultiobjectiveoptimization. In multiobjective optimization, there does not necessarily a unique solution which minimizes (or maximizes) all objective functions. We usually face to the situation in which if we… want to improve some of objectives, we have to give up other objectives. Finally, we pay much attention on how much to improve some of objectives and instead how much to give up others. This is called “trade-o?. ” Note that making trade-o? is a problem of value ju- ment of decision makers. One of main themes of multiobjective optimization is how to incorporate value judgment of decision makers into decision s- port systems. There are two major issues in value judgment (1) multiplicity of value judgment and (2) dynamics of value judgment. The multiplicity of value judgment is treated as trade-o? analysis in multiobjective optimi- tion. On the other hand, dynamics of value judgment is di?cult to treat. However, it is natural that decision makers change their value judgment even in decision making process, because they obtain new information during the process. Therefore, decision support systems are to be robust against the change of value judgment of decision makers. To this aim, interactive p- grammingmethodswhichsearchasolutionwhileelicitingpartialinformation on value judgment of decision makers have been developed. Those methods are required to perform ?exibly for decision makers’ attitude. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
12.05.2009
Sprache
Englisch
EAN
9783540889090
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Vector Optimization
Sonderedition
Nein
Autor
Hirotaka Nakayama
Seitenanzahl
200
Einbandart
Gebundene Ausgabe
Schlagwörter
Evolutionary Multi-Objective Optimization, Machine Learning, Meta-Modelling, Optimal Design of Experiments, algorithms, genetic algorithms, modeling, multi-objective optimization, optimization
Thema-Inhalt
PBWH - Mathematische Modellierung
TBJ - Mathematik für Ingenieure
KJT - Unternehmensforschung
UYA - Theoretische Informatik
KJMD - Management: Entscheidungstheorie
PBU - Optimierung
UYAM - Mathematik für Informatiker
PBD - Diskrete Mathematik
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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