Models and Algorithms for Multi-objective Transportation Optimization Problems
Models and Algorithms for Multi-objective Transportation Optimization Problems
Author: Zhang Mo
ISBN: 978-1-84464-690-6
Ebook ISBN: 978-1-84464-691-3
Hardback - 194 pages
November 2021
English
£80 €100 $130
Description:
Zhang Mo, a lecturer of Nanjing University of Posts and Telecommunications, has been engaged in the teaching and research of computer software technology for many years. Her main research interests are computer logistics technology and multi-objective optimization algorithm. She has participated in many scientific research projects such as the National Natural Science Foundation of China.
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.
Content:
Preface 1
Chapter1 Introduction
Chapter 2 Two-phrase Evolutionary Algorithm for the Bi-objective Full Truckload Transportation Service Procurement Problem
Chapter 3 Bi-objective Branch-and bound for the Transportation Service Procurement Problem with Transmit 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
Author:
Zhang Mo, a lecturer of Nanjing University of Posts and Telecommunications, has been engaged in the teaching and research of computer software technology for many years. Her main research interests are computer logistics technology and multi-objective optimization algorithm. She has participated in many scientific research projects such as the National Natural Science Foundation of China.