Yun youngsu (29 Ergebnisse)
Sustainable Logistics Systems Using Ai-based Meta-heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
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EUR 56,61
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Sustainable Logistics Systems Using Ai-based Meta-heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Softcover
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EUR 61,83
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- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sustainable Logistics Systems Using Ai-based Meta-heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Softcover
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Sustainable Logistics Systems Using Ai-based Meta-heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Softcover
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- Softcover
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- Softcover
- Erstausgabe
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Zustand: New. 2025. 1st Edition. paperback. . . . . .
- Softcover
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Zustand: New.
Sustainable Logistics Systems Using AI-Based Meta-Heuristics Approaches
Xu, Jiuping (Editor)/ Gen, Mitsuo (Editor)/ Li, Zongmin (Editor)/ Yun, Youngsu (Editor)
- Softcover
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Paperback. Zustand: Brand New. 186 pages. 11.68x8.25x11.69 inches. In Stock.
- Softcover
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Zustand: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Sustainable Logistics Systems Using AI-Based Meta-Heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 212,47
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Zustand: As New. Unread book in perfect condition.
Sustainable Logistics Systems Using AI-Based Meta-Heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 222,57
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Zustand: New.
Sustainable Logistics Systems Using AI-Based Meta-Heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 212,08
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Zustand: As New. Unread book in perfect condition.
Sustainable Logistics Systems Using AI-Based Meta-Heuristics Approaches
Xu, Jiuping (EDT); Gen, Mitsuo (EDT); Li, Zongmin (EDT); Yun, Youngsu (EDT)
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 213,02
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Zustand: New.
- Hardcover
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EUR 226,16
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Zustand: New.
- Hardcover
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EUR 240,00
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Zustand: New. 1st edition NO-PA16APR2015-KAP.
- Weitere Bilder
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 209,08
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Zustand: New. 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.
- Hardcover
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes KönigreichTHE SAINT BOOKSTORE
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EUR 254,74
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Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.
- Softcover
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EUR 58,98
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Zustand: Brand New. New. Delivery takes 20-25 days. Print on Demand.
- Softcover
- Print-on-Demand
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EUR 73,49
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Paperback. Zustand: new. Paperback. 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 managem…ent, 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. 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print-on-Demand
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EUR 75,79
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Paperback. Zustand: new. Paperback. 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 managem…ent, 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. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 111,48
EUR 32,11 VersandVersand von Australien nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. 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 managem…ent, 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. 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Hardcover
- Print-on-Demand
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EUR 152,45
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Zustand: Brand New. New. Delivery takes 20-25 days. Print on Demand.
- Weitere Bilder
- Softcover
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.
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EUR 189,70
EUR 23,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 deci…sion-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. 186 pp. Englisch.
- Hardcover
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Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
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EUR 255,36
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Zustand: New. PRINT ON DEMAND.
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- Hardcover
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EUR 208,44
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Buch. Zustand: Neu. 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.
