Name: Sustainable Logistics Systems Using Ai-Based Meta-Heuristics Approaches (en Inglés)
SKU: 56098390
Price: 163380.00 CLP
Availability: InStock
Author: Jiuping Xu
ISBN: 9781032634388

portada Sustainable Logistics Systems Using Ai-Based Meta-Heuristics Approaches (en Inglés)

Sustainable Logistics Systems Using Ai-Based Meta-Heuristics Approaches (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Jiuping Xu

Idioma

Inglés

N° páginas

174

Encuadernación

Tapa Dura

ISBN13

9781032634388

N° edición

Sustainable Logistics Systems Using Ai-Based Meta-Heuristics Approaches (en Inglés)

Jiuping Xu (Autor) · Routledge · Tapa Dura

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Reseña del libro "Sustainable Logistics Systems Using Ai-Based Meta-Heuristics Approaches (en Inglés)"

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.