
- 195 pages
- English
- PDF
- Available on iOS & Android
Models and Algorithms for Multi-objective Transportation Optimization Problems
About this book
With the rapid development of trade globalization, transportation plays a critical role in global trade, and outsourcing transportation has become a common practice in the modern logistics industry. This book solved two problems in the modern logistics industry, which helped shipper save transportation costs and helped O2O takeout platforms improve decisions. This book studies two classes of decision-making optimization problems widely concerned in the modern logistics industry: transportation service procurement problems and online-to-offline food pickup and delivery problems. It helped shippers save transportation costs and helped O2O takeout platforms improve decisions.
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Information
Table of contents
- Cover
- Title
- Preface
- Content
- Chapter 1 Introduction
- Chapter 2 Two-phase Evolutionary Algorithm for the Bi-objective Full Truckload Transportation Service Pricurement Problem
- Chapter 3 Bi-objective Branch-and bound for the Transportation Service Procurement Problem with Transit Time and Total Quantity Discounts
- Chapter 4 Bi-objective Memetic Algorithm for the O2O Food Pickup and Delivery Problem with Time Windows
- Chapter 5 Conclusions
- Bibliography
- Acknowledgements
- Copyright
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