Description
| Product ID: | 9781032634388 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches |
| Authors: | Author: Jiuping Xu, Zongmin Li, YoungSu Yun, Mitsuo Gen |
| Page Count: | 174 |
| Subjects: | Economics, Economics, Production and quality control management, Purchasing and supply management, Engineering: general, Other manufacturing technologies, Environmental science, engineering and technology, Information technology: general topics, Algorithms and data structures, Artificial intelligence, Production & quality control management, Purchasing & supply management, Engineering: general, Other manufacturing technologies, Environmental science, engineering & technology, Information technology: general issues, Algorithms & data structures, Artificial intelligence |
| Description: | 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. This book introduces and analyses 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, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-12-22 |
