Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing

Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing

The integration of simulation-based optimization and data mining is an emerging approach to support decision-making in the design and improvement of manufacturing systems. In such an approach, knowledge extracted from the optimal solutions generated by the simulation-based optimization process can p...

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Bibliographic Details
Main Authors: Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Manufacturing
decision making
simulation-based optimization
data mining
evolutionary algorithms
Online Access:https://ieeexplore.ieee.org/document/9585687/

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