Solution approaches for the multiobjective stochastic programming

We survey in this paper various solution approaches for multiobjective stochastic problems where random variables can be in both objectives and constraints parameters. Once a problem requires a stochastic formulation, a first step consists in transforming the problem into its deterministic formulati...

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Veröffentlicht in:	European journal of operational research Jg. 216; H. 1; S. 1 - 16
1. Verfasser:	Abdelaziz, Fouad Ben
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 2012 Elsevier Elsevier Sequoia S.A
Schlagworte:	Applied sciences Classification Computational efficiency Computing time Decision theory. Utility theory Efficient solutions Exact sciences and technology Mathematical models Mathematical problems Mathematical programming Multiobjective stochastic programming Operational research Operational research and scientific management Operational research. Management science Programming Random variables Stochastic goal programming Stochastic models Stochasticity Studies Transformations Stochastic goal programming Multiobjective stochastic programming Efficient solutions Stochastic model Efficiency Multiobjective programming Random variable Goal programming Stochastic programming
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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