Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

Language: English

Published by Taylor & Francis, Routledge, 2023

1032634383 / 9781032634388

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

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Title
Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
Author
Jiuping Xu
Publisher
Taylor & Francis, Routledge
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1032634383
ISBN 13
9781032634388
Item weight
500 grams
Dimensions
297x210x14 mm

AHA-BUCH GmbH

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