Recent Developments in Computational Approaches to Optimization under Uncertainty and Application in Process Systems Engineering
作者： Abebe Geletu , Pu Li
关键词: Stochastic optimization 、 Engineering optimization 、 Computer science 、 Robust optimization 、 Applied science 、 Management science 、 Systems engineering 、 Context (language use) 、 Work in process 、 Constrained optimization 、 Probabilistic-based design optimization
摘要: The major objective of this paper is to give concise summary and brief discussions on latest developments optimization methods under uncertainty in process systems engineering (PSE) applications. work focuses more the explanation results than rigorous mathematical presentations. Results PSE applications robust as well chance constrained are summarized, by providing cross-references recent corresponding fields optimization. presented discussion inclined contributions authors. In particular, given emphasis. As a result future directions will be summarized context related applied sciences.
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