株式会社極東書店トップ > 商品一覧 > Hybrid Methods for Modeling and Optimizing Complex Systems: Advances in Interdisciplinary Approaches for Complex Problem Solving: Proceedings of the IV International Workshop on Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-IV 2025). Volume 2.
商品詳細
Hybrid Methods for Modeling and Optimizing Complex Systems: Advances in Interdisciplinary Approaches for Complex Problem Solving: Proceedings of the IV International Workshop on Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-IV 2025). Volume 2.
・ISBN 978-3-032-30103-1 paper EUR 199.99
¥53,456.- (税込) ※(※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Stanimirovic, Predrag S. / Mourtas, Spyridon D. / Sahoo, Jajati Keshari (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Networks and Systems) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 434 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-75046> |
解説
This volume presents selected papers from the IV International Workshop on Hybrid Methods of Modeling and Optimization in Complex Systems, focusing on interdisciplinary advances in hybrid modeling, artificial intelligence, optimization, and digital technologies for complex problem solving. The volume explores hybrid optimization techniques, transfer learning, fuzzy systems, cyber-physical systems, AI-driven economic and industrial applications, digital transformation, sustainable development, BIM and digital twins, intelligent forecasting, and decision-support systems. It also covers data mining, machine learning, multimodal analysis, semantic search, financial and medical data processing, as well as domain-specific applications in architecture, environmental engineering, forestry, and industrial systems. Combining theoretical developments with practical implementations, the book demonstrates how hybrid methodologies improve analytical accuracy, system adaptability, and intelligent decision-making across scientific, technological, and economic domains. It is intended for researchers, engineers, practitioners, and graduate students working in complex systems, artificial intelligence, and interdisciplinary modeling.