Výsledky vyhledávání - "Mitrai, Ilias"

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Accelerating process control and optimization via machine learning: A review

Autor: Mitrai, Ilias, Daoutidis, Prodromos

Process control and optimization have been widely used to solve decision-making problems in chemical engineering applications. However, identifying and tuning the best solution algorithm is challenging and time-consuming. Machine learning tools can b

Externí odkaz: http://arxiv.org/abs/2412.18529

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Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize

Autor: Mitrai, Ilias, Daoutidis, Prodromos

The repeated solution of large-scale optimization problems arises frequently in process systems engineering tasks. Decomposition-based solution methods have been widely used to reduce the corresponding computational time, yet their implementation has

Externí odkaz: http://arxiv.org/abs/2310.07082

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Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose

Autor: Mitrai, Ilias, Daoutidis, Prodromos

In this paper, we propose a graph classification approach for automatically determining whether to use a monolithic or a decomposition-based solution method. In this approach, an optimization problem is represented as a graph that captures the struct

Externí odkaz: http://arxiv.org/abs/2310.07068

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Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition

Autor: Mitrai, Ilias, Daoutidis, Prodromos

Mixed integer Model Predictive Control (MPC) problems arise in the operation of systems where discrete and continuous decisions must be taken simultaneously to compensate for disturbances. The efficient solution of mixed integer MPC problems requires

Externí odkaz: http://arxiv.org/abs/2309.16508

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