Special Issue: Intelligent Systems for Modeling, Optimization and Control
Guest Editors
Prof. Álvaro Michelena
Department of Industrial Engineering, University of A Coruña, Spain
Email: alvaro.michelena@udc.es
Prof. Esteban Jove
Department of Industrial Engineering, University of A Coruña, Spain
Email: esteban.jove@udc.es
Prof. Dragan Simić
Faculty of Technical Sciences, University of Novi Sad, Serbia
Email: dsimic@eunet.rs
Prof. Jose Luis Calvo-Rolle
Department of Industrial Engineering, University of A Coruña, Spain
Email: jlcalvo@udc.es
Prof. Wei Lin
School of Mathematical Sciences and Research Institute of Intelligent Complex Systems, Fudan University, China
Email: wlin@fudan.edu.cn
Manuscript Topics
Today, intelligent systems have already changed many modeling, optimization and control processes. From engineering and applied mathematics to data science, Artificial Intelligence (AI), Machine Learning (ML) and sophisticated computational approaches are disrupting the analysis, optimization and control of complex systems.
The aim of this special issue is to bring together the most sophisticated methodologies and applications of intelligent systems to solve real-world problems. It focuses on new AI-based approaches for modeling complex systems, decision-making processes, and improving control strategies. Submissions that address any aspect of theoretical developments, innovative computational techniques, and practical implementations are strongly encouraged.
Topics of Interest
• Artificial intelligence for modeling and anomaly detection
• Machine learning approaches for systems modeling, optimization and control
• Deep learning techniques for modeling complex systems
• Optimization algorithms for real-time anomaly detection
• Optimization algorithms based on machine learning and evolutionary computing
Keywords:
• Artificial intelligence
• Anomaly detection
• Intelligent systems
• Optimization and control
• Machine learning applications
• Intrusion detection systems
For Instructions for authors, please visit
https://www.aimspress.com/era/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/