Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches - Softcover

 
9781032634395: Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

Inhaltsangabe

This book emphasizes both theory and practice, providing methodological and theoretical basis as case references for Sustainable Logistics Systems using AI based Meta Heuristics. It encompasses the most frequently employed AI-based meta-heuristics approaches.

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Über die Autorin bzw. den Autor

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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9781032634388: Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

Vorgestellte Ausgabe

ISBN 10:  1032634383 ISBN 13:  9781032634388
Verlag: Taylor & Francis, 2023
Hardcover