Coordinated Multi-Robot Exploration : Hybrid Stochastic Optimization Approach

2022 ◽  
Author(s):  
Faiza Gul ◽  
Suleman Mir ◽  
Imran Mir
Keyword(s):  
Stochastic Optimization ◽  
Optimization Approach ◽  
Multi Robot

Multiobjective Stochastic Optimization Approach Applied to a Hybrid Process Production–Separation in the Production of Biobutanol

2017 ◽  
Vol 56 (7) ◽  
pp. 1823-1833 ◽  
Author(s):  
Juan José Quiroz-Ramírez ◽  
Eduardo Sánchez-Ramírez ◽  
Salvador Hernández ◽  
Jorge Humberto Ramírez-Prado ◽  
Juan Gabriel Segovia-Hernández
Keyword(s):  
Stochastic Optimization ◽  
Hybrid Process ◽  
Optimization Approach

scholarly journals Detecting resilient structures in stochastic networks: A two-stage stochastic optimization approach

Networks ◽  
2017 ◽  
Vol 69 (2) ◽  
pp. 189-204 ◽  
Author(s):  
Maciej Rysz ◽  
Pavlo A. Krokhmal ◽  
Eduardo L. Pasiliao
Keyword(s):  
Stochastic Optimization ◽  
Stochastic Networks ◽  
Optimization Approach ◽  
Two Stage

Optimal operation of alumina proportioning and mixing process based on stochastic optimization approach

2021 ◽  
Vol 113 ◽  
pp. 104855
Author(s):  
Yanyan Yin ◽  
Lingshuang Kong ◽  
Chunhua Yang ◽  
Weihua Gui ◽  
Fei Liu ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Optimal Operation ◽  
Optimization Approach ◽  
Mixing Process

Design of hydrogen supply chains under demand uncertainty – a case study of passenger transport in Germany

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Anton Ochoa Bique ◽  
Leonardo K. K. Maia ◽  
Ignacio E. Grossmann ◽  
Edwin Zondervan
Keyword(s):  
Stochastic Optimization ◽  
Demand Uncertainty ◽  
Programming Model ◽  
Cost Minimization ◽  
Water Electrolysis ◽  
Scenario Tree ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Strong Impact ◽  
Hydrogen Supply

Abstract A strategy for the design of a hydrogen supply chain (HSC) network in Germany incorporating the uncertainty in the hydrogen demand is proposed. Based on univariate sensitivity analysis, uncertainty in hydrogen demand has a very strong impact on the overall system costs. Therefore we consider a scenario tree for a stochastic mixed integer linear programming model that incorporates the uncertainty in the hydrogen demand. The model consists of two configurations, which are analyzed and compared to each other according to production types: water electrolysis versus steam methane reforming. Each configuration has a cost minimization target. The concept of value of stochastic solution (VSS) is used to evaluate the stochastic optimization results and compare them to their deterministic counterpart. The VSS of each configuration shows significant benefits of a stochastic optimization approach for the model presented in this study, corresponding up to 26% of infrastructure investments savings.

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