Using a Digital Twin as the Objective Function for Evolutionary Algorithm Applications in Large Scale Industrial Processes

Using a Digital Twin as the Objective Function for Evolutionary Algorithm Applications in Large Scale Industrial Processes

In this paper, we describe how the up-to-date state of a digital twin, and its corresponding simulation model, can be used as a fitness function of an evolutionary algorithm for optimizing a large-scale industrial process. An ICT architecture is presented for solving the computational challenges tha...

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Bibliographic Details
Main Authors: Miro Eklund, Seppo A. Sierla, Hannu Niemisto, Timo Korvola, Jouni Savolainen, Tommi A. Karhela
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cloud computing
evolutionary computation
digital twin
optimization
simulation
Online Access:https://ieeexplore.ieee.org/document/10064259/

Internet

https://ieeexplore.ieee.org/document/10064259/

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