Package balancing k-means algorithm for physical distribution
by Yinglong Dai; Wang Yang; Guojun Wang
International Journal of Computational Science and Engineering (IJCSE), Vol. 14, No. 4, 2017

Abstract: As the express delivery service is flourishing, it is a challenge to assign a set of tasks to a set of carriers, as it has to aggregate the neighbour tasks to a carrier and keep the loads of carriers balanced simultaneously. K-means clustering algorithm is an effective way to split the delivery tasks. However, it cannot solve the load balancing problem. This paper proposes an extended clustering algorithm - package balancing k-means. It adding the weight metric to the standard k-means algorithm to achieve load balancing. Analyses and experiments show that package balancing k-means can solve the load balancing clustering problem efficiently. Moreover, experiments show that the extended algorithm can achieve faster convergence.

Online publication date: Wed, 21-Jun-2017

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