Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
$101.49
- Paperback
174 pages
- Release Date
30 July 2025
Summary
AI-Powered Sustainable Logistics: Meta-Heuristics in Action
This book introduces and analyzes recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models and integrated multi-criteria decision-making approaches for green supply chain management and uncertain supply chain models. It emphasizes both theory and practice, providing methodological and theoretical basis as w…
Book Details
| ISBN-13: | 9781032634395 |
|---|---|
| ISBN-10: | 1032634391 |
| Author: | Jiuping Xu, Mitsuo Gen, Zongmin Li, YoungSu Yun |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Routledge |
| Format: | Paperback |
| Number of Pages: | 174 |
| Release Date: | 30 July 2025 |
| Weight: | 340g |
| Dimensions: | 210mm x 297mm |
About The Author
Jiuping Xu
Jiuping Xu is Associate Vice President of Sichuan University, P.R. China, and Editor-in-Chief of International Journal of Management Science and Engineering Management. His research interests include decision science, engineering management, and management science.
Mitsuo Gen is Senior Research Scientist of Fuzzy Logic Systems Institute and Visiting Professor at Tokyo University of Science, Japan. His research interests include soft computing, evolutionary algorithms, intelligent manufacturing, and sustainable closed supply chain.
Zongmin Li is Professor of Business School, Sichuan University, P. R. China, and Managing Editor of International Journal of Management Science and Engineering Management. Her research interests include data-driven decision making and big data analytics.
YoungSu Yun is Professor of Division of Business Administration at Chosun University, South Korea. His research interests include sustainable closed supply chain system, engineering optimization design and evolutionary algorithms.
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