Data-driven two-stage sparse distributionally robust risk optimization model for location allocation problems under uncertain environment

Data-driven two-stage sparse distributionally robust risk optimization model for location allocation problems under uncertain environment

Robust optimization is a new modeling method to study uncertain optimization problems, which is to find a solution with good performance for all implementations of uncertain input. This paper studies the optimal location allocation of processing plants and distribution centers in uncertain supply ch...

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Bibliographic Details
Main Author: Zhimin Liu
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:AIMS Mathematics
Subjects:
supply chain management
two-stage sparse distributionally robust risk mixed integer optimization model
location allocation
uncertainty
ds-hpso algorithm
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023152?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023152?viewType=HTML

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