Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, the amalgamation of sophisticated data analytics, machine learning, and artificial intelligence has become pivotal, unlocking new horizo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/17/12/569 |
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| _version_ | 1850050426472235008 |
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| author | Sheng Du Zixin Huang Li Jin Xiongbo Wan |
| author_facet | Sheng Du Zixin Huang Li Jin Xiongbo Wan |
| author_sort | Sheng Du |
| collection | DOAJ |
| description | This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, the amalgamation of sophisticated data analytics, machine learning, and artificial intelligence has become pivotal, unlocking new horizons in production efficiency, sustainability, and quality assurance. Contributions to this Special Issue highlight innovative research in advancements in work-sampling data analysis, data-driven process choreography discovery, intelligent ship scheduling for maritime rescue, process variability monitoring, hybrid optimization algorithms for economic emission dispatches, and intelligent controlled oscillations in smart structures. These studies collectively contribute to the body of knowledge on data-driven intelligent modeling and optimization, offering practical solutions and theoretical frameworks to address complex industrial challenges. |
| format | Article |
| id | doaj-art-e6051f5d8daa4386b7e24795d10e94d7 |
| institution | DOAJ |
| issn | 1999-4893 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-e6051f5d8daa4386b7e24795d10e94d72025-08-20T02:53:27ZengMDPI AGAlgorithms1999-48932024-12-01171256910.3390/a17120569Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial ProcessesSheng Du0Zixin Huang1Li Jin2Xiongbo Wan3School of Automation, China University of Geosciences, Wuhan 430074, ChinaSchool of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Automation, China University of Geosciences, Wuhan 430074, ChinaSchool of Automation, China University of Geosciences, Wuhan 430074, ChinaThis editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, the amalgamation of sophisticated data analytics, machine learning, and artificial intelligence has become pivotal, unlocking new horizons in production efficiency, sustainability, and quality assurance. Contributions to this Special Issue highlight innovative research in advancements in work-sampling data analysis, data-driven process choreography discovery, intelligent ship scheduling for maritime rescue, process variability monitoring, hybrid optimization algorithms for economic emission dispatches, and intelligent controlled oscillations in smart structures. These studies collectively contribute to the body of knowledge on data-driven intelligent modeling and optimization, offering practical solutions and theoretical frameworks to address complex industrial challenges.https://www.mdpi.com/1999-4893/17/12/569data-driven modelingindustrial processesmachine learning algorithmsoptimization algorithmsadaptive learning |
| spellingShingle | Sheng Du Zixin Huang Li Jin Xiongbo Wan Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes Algorithms data-driven modeling industrial processes machine learning algorithms optimization algorithms adaptive learning |
| title | Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes |
| title_full | Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes |
| title_fullStr | Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes |
| title_full_unstemmed | Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes |
| title_short | Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes |
| title_sort | recent progress in data driven intelligent modeling and optimization algorithms for industrial processes |
| topic | data-driven modeling industrial processes machine learning algorithms optimization algorithms adaptive learning |
| url | https://www.mdpi.com/1999-4893/17/12/569 |
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