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In this paper, the fixed charge solid transportation problem under uncertainty is investigated.
The problem is posed as a dynamic optimization problem under uncertainty and solved using control-vector parameterization techniques.
In this paper, we present a new multi-objective model for a hub location problem under uncertainty.
Thus, more general reactor types may be needed to solve the reactor network synthesis problem under uncertainty.
This paper studies various modeling approaches to design resilient supply networks (SN) for the location transportation problem under uncertainty.
For this optimization problem under uncertainty, the significance of water breakthrough time expected value as an objective on the robust optimization problem is investigated.
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With this point of view, this study formulates a global logistics network design problem under uncertainties and presents a solution method in terms of the stochastic programming known as recourse model.
She is broadly interested in data-driven decision making problems under uncertainty.
Stochastic Constraint Satisfaction Problems (SCSPs) are a powerful modeling framework for problems under uncertainty.
It has been widely employed in technology selection problems under uncertainty.
In this paper, we address several aspects concerning hub location problems under uncertainty.
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CEO of Professional Science Editing for Scientists @ prosciediting.com