Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes DOI Creative Commons
Sheng Du, Zixin Huang, Li Jin

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(12), P. 569 - 569

Published: Dec. 12, 2024

This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, amalgamation sophisticated data analytics, machine learning, artificial intelligence has become pivotal, unlocking new horizons production efficiency, sustainability, quality assurance. Contributions to this Special Issue highlight innovative research advancements work-sampling analysis, process choreography discovery, ship scheduling maritime rescue, variability monitoring, hybrid economic emission dispatches, controlled oscillations smart structures. These studies collectively contribute body knowledge on optimization, offering practical solutions theoretical frameworks address complex challenges.

Language: Английский

Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes DOI Creative Commons
Sheng Du, Zixin Huang, Li Jin

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(12), P. 569 - 569

Published: Dec. 12, 2024

This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, amalgamation sophisticated data analytics, machine learning, artificial intelligence has become pivotal, unlocking new horizons production efficiency, sustainability, quality assurance. Contributions to this Special Issue highlight innovative research advancements work-sampling analysis, process choreography discovery, ship scheduling maritime rescue, variability monitoring, hybrid economic emission dispatches, controlled oscillations smart structures. These studies collectively contribute body knowledge on optimization, offering practical solutions theoretical frameworks address complex challenges.

Language: Английский

Citations

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