Hybrid Methods for Modeling and Optimizing Complex Systems - Advances in Interdisciplinary Approaches for Complex Problem Solving

Delivering innovative methods for addressing complex systems, this book presents the latest advances in hybrid modeling, machine learning, and digital technologies. Based on selected papers from the III International Workshop Hybrid Methods of Modeling and Optimization in Complex Systems held December 2 4, 2024, in Krasnoyarsk, Russia, the book covers hybrid modeling and optimization, intelligent data analysis, financial forecasting, industrial and educational digitalization, AI-guided decision support, and digital system security. Readers will find such interdisciplinary applications as climate project modeling, agricultural digital services, and the digital platform economy; e-learning analysis and digital competence development; digital twins and production optimization; as well as research on network systems. It is essential for researchers, practitioners, and educators seeking practical solutions and advanced hybrid methods for diverse scientific and engineering challenges.

Summary

Delivering innovative methods for addressing complex systems, this book presents the latest advances in hybrid modeling, machine learning, and digital technologies. Based on selected papers from the III International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” held December 2–4, 2024, in Krasnoyarsk, Russia, the book covers hybrid modeling and optimization, intelligent data analysis, financial forecasting, industrial and educational digitalization, AI-guided decision support, and digital system security. Readers will find such interdisciplinary applications as climate project modeling, agricultural digital services, and the digital platform economy; e-learning analysis and digital competence development; digital twins and production optimization; as well as research on network systems. It is essential for researchers, practitioners, and educators seeking practical solutions and advanced hybrid methods for diverse scientific and engineering challenges.

Product details

• Assisted by: Spyridon D Mourtas (Editor), Jajati Keshari Sahoo (Editor), Spyridon D. Mourtas (Editor), Jajati Keshari Sahoo (Editor), Predrag S. Stanimirovic (Editor), Predrag S. Stanimirović (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 14.07.2025
• EAN: 9783031956485
• ISBN: 978-3-0-3195648-5
• No. of pages: 623
• Dimensions: 155 mm x 34 mm x 235 mm
• Weight: 949 g
• Illustrations: XII, 623 p. 249 illus., 189 illus. in color.
• Series: Lecture Notes in Networks and Systems
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; machine learning, Data Mining, Optimization, Artificial Intelligence, Mathematik für Ingenieure, Neural Networks, Complex systems, Computational Intelligence, Mathematical and Computational Engineering Applications, Evolutionary Algorithms, Hybrid Methods, Modeling Techniques, Interdisciplinary Applications