Application of BFO-AFSA to location of distribution centre

摘要

AbstractThis article presents a swarm intelligence algorithm that is improved with the bacterial foraging algorithm to solve distribution center location problems. As the traditional algorithm tends to the local optimum in the later stage, the improved artificial fish swarm algorithm takes advantage of the remarkable ability of local search owned by the bacterial foraging algorithm by integrating chemo taxis into the basic artificial fish swarm algorithm. The simulations showed that the improved algorithm is more effective in the aspects of searching accuracy, reliability, optimization efficiency, stability, and cost.