Multiobjective Stochastic Linear Programming: An Overview

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