Papers › Graph-Based Modeling and Simulation of Complex Systems

Graph-Based Modeling and Simulation of Complex Systems

12 Dec 2018arXiv:1812.04983links table onlyarchive 2025-07-28

Jordan Jalving, Yankai Cao, Victor M. Zavala

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We present graph-based modeling abstractions to represent cyber-physical dependencies arising in complex systems. Specifically, we propose an algebraic graph abstraction to capture physical connectivity in complex optimization models and a computing graph abstraction to capture communication connectivity in computing architectures. The proposed abstractions are scalable and are used as the backbone of a Julia -based software package that we call Plasmo.jl . We show how the algebraic graph abstraction facilitates the implementation, analysis, and decomposition of optimization problems and we show how the computing graph abstraction facilitates the implementation of optimization and control algorithms and their simulation in virtual environments that involve distributed, centralized, and hierarchical computing architectures.

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zavalab/Plasmo.jl officialmentioned in papermentioned on GitHub report
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rballachay/PlasmoSNGO.jl mentioned on GitHub report

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