Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
480191 | European Journal of Operational Research | 2012 | 16 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Fouad Ben Abdelaziz,