Solving logistics distribution center location problem using a wolf pack algorithm

Abstract

Logistics distribution center is crucial to the whole logistics system. The location of the distribution is the key of the logistics system analysis. In this paper, it is changed to a constrained optimization problem using assumptions firstly. An improved wolf pack algorithm is then proposed, which changes the aggregating step length from certainty into uncertainty, and applying it solves the optimization problem. Experiments are conducted on the problem of the logistics distribution center location. What’s more, the compared simulation experiments with other intelligent algorithms show that the proposed method is effective and feasible.