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Multiobjective Stochastic Linear Programming: An Overview

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Author(s): A. Segun Adeyefa | Monga K. Luhandjula

Journal: American Journal of Operations Research
ISSN 2160-8830

Volume: 01;
Issue: 04;
Start page: 203;
Date: 2011;
Original page

Keywords: Linear Programming | Multiobjective Programming | Stochastic Programming | Expected Value Optimality/Efficiency | Minimum Risk Solution/Efficiency | Variance Optimality/Efficiency | Optimality/Efficiency with Given Probabilities.

ABSTRACT
Many Optimization problems in engineering and economic involve the challenging task of pondering both conflicting goals and random data. In this paper, we give an up-to-date overview of how important ideas from optimization, probability theory and multicriteria decision analysis are interwoven to address situations where the presence of several objective functions and the stochastic nature of data are under one roof in a linear optimization context. In this way users of these models are not bound to caricature their problems by arbitrarily squeezing different objective functions into one and by blindly accepting fixed values in lieu of imprecise ones.

Tango Jona
Tangokurs Rapperswil-Jona

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