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Solution approaches for the multiobjective stochastic programming
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DOI：10.1016/j.ejor.2011.03.033.png)
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摘要
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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 formulation. We propose to classify and evaluate such transformations with regards to the many proposed concepts of efficiency. The paper addresses also some applications of the multiobjective stochastic programming models. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Multiobjective stochastic programming
Stochastic goal programming
Efficient solutions
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期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
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