Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches [Paperback]

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.

Introduction - Sustainable Logistics Systems using AI-based Meta-Heuristics Approaches 1. Applying GA-VNS approach to supply chain network model with facility and route disruptions 2. Edge boundary variable neighborhood strategy adaptive search for a vegetable crop land allocation problem 3. Multi-criteria decision-making methods for the evaluating of a real green supply chain in companies with fast-moving consumer goods 4. Multi-objective grouping genetic algorithm for the joint order batching, batch assignment, and sequencing problem 5. Green supply chain management framework for supplier selection: an integrated multi-criteria decision-making approach 6. A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, thelÓ%