Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
|Links||Thesis in Leiden Repository|
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.