Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jalving, Jordan"'
Autor:
Ceccon, Francesco, Jalving, Jordan, Haddad, Joshua, Thebelt, Alexander, Tsay, Calvin, Laird, Carl D., Misener, Ruth
The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been trained using machine learning, into larger optimization problems. We dis
Externí odkaz:
http://arxiv.org/abs/2202.02414
Autor:
Jalving, Jordan, Eydenberg, Michael, Blakely, Logan, Castillo, Anya, Kilwein, Zachary, Skolfield, J. Kyle, Boukouvala, Fani, Laird, Carl
Publikováno v:
In International Journal of Electrical Power and Energy Systems June 2024 157
We present a general graph-based modeling abstraction for optimization that we call an OptiGraph. Under this abstraction, any optimization problem is treated as a hierarchical hypergraph in which nodes represent optimization subproblems and edges rep
Externí odkaz:
http://arxiv.org/abs/2006.05378
Autor:
Jalving, Jordan, Ghouse, Jaffer, Cortes, Nicole, Gao, Xian, Knueven, Bernard, Agi, Damian, Martin, Shawn, Chen, Xinhe, Guittet, Darice, Tumbalam-Gooty, Radhakrishna, Bianchi, Ludovico, Beattie, Keith, Gunter, Daniel, Siirola, John D., Miller, David C., Dowling, Alexander W.
Publikováno v:
In Applied Energy 1 December 2023 351
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
Externí odkaz:
http://arxiv.org/abs/1812.04983
Autor:
Kilwein, Zachary1 (AUTHOR) zkilwein3@gatech.edu, Jalving, Jordan2 (AUTHOR), Eydenberg, Michael2 (AUTHOR), Blakely, Logan2 (AUTHOR), Skolfield, Kyle2 (AUTHOR), Laird, Carl2 (AUTHOR), Boukouvala, Fani1 (AUTHOR) fani.boukouvala@chbe.gatech.edu
Publikováno v:
Energies (19961073). Aug2023, Vol. 16 Issue 16, p5913. 17p.
Publikováno v:
In Computers and Chemical Engineering 9 June 2019 125:134-154
Publikováno v:
Mathematical Programming Computation. 14:699-747
We present a general graph-based modeling abstraction for optimization that we call an OptiGraph. Under this abstraction, any optimization problem is treated as a hierarchical hypergraph in which nodes represent optimization subproblems and edges rep
Autor:
Kilwein, Zachary, Boukouvala, Fani, Laird, Carl, Castillo, Anya, Blakely, Logan, Eydenberg, Michael, Jalving, Jordan, Batsch-Smith, Lisa
Publikováno v:
In Computer Aided Chemical Engineering 2021 50:919-925
Autor:
Jalving, Jordan, Zavala, Victor
Publikováno v:
In Computer Aided Chemical Engineering 2019 46:1063-1068