Meta-heuristics for vehicle routing and inventory routing problems

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Meta-heuristics for vehicle routing and inventory routing problems

Type: Doctoral Thesis
Title: Meta-heuristics for vehicle routing and inventory routing problems
Author: Yang, Z.
Issue Date: 2016-09-20
Keywords: Meta-heuristic
Vehicle routing problem
Inventory routing problem
Ant colony algorithm
Abstract: With the rapid development of electronic commerce, logistics management has become more and more important in the procedure of supply chain management. The goal of logistics management is to satisfy the demands of customers while minimizing the use of resources of the whole process in logistics management from the point of origin to the point of consumption. The logistics management technology has been widely used in the field of engineering and contributes to reducing the total logistics cost. In this thesis, we focus on algorithms based on nature-inspired paradigms to solve dynamic logistics management problems. Results show that the proposed multiple ant system algorithm and the multi-objective cooperative particle swarm algorithm are able to produce good solutions for the vehicle routing problems and inventory routing problems not only in theory but also in practice.
Promotor: Supervisors: T.H.W. Bäck; Y. Tan Co-Supervisor: M.T.M. Emmerich
Faculty: Science
University: Leiden
Uri: urn:isbn:9789463320665
Handle: http://hdl.handle.net/1887/43073
 

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application/pdf Chapter 1 Introduction 228.8Kb View/Open
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application/pdf Chapter 8 Conclusions and outlook 223.4Kb View/Open
application/pdf Bibliography 136.2Kb View/Open
application/pdf Summary in Dutch 168.8Kb View/Open
application/pdf Acknowledgements_About the author 112.7Kb View/Open
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