Improved Artificial Bee Colony Algorithm and Its Application of Location Selection in Logistics Distribution Centers

Artificial Bee Colony Algorithm is a swarm intelligent global optimization algorithm used to solve some multidimensional optimization problems. The artificial bee colony algorithm has the defect of converging to the local optimal solution easily, so this paper proposes an improved artificial bee colony algorithm GRABC, which has a new search formula to improve the performance of the algorithm in searching the global optimal solution. The algorithm has a step size control parameter, which balances the global search capability and local search accuracy. Finally, this paper applies the GRABC algorithm to the logistics distribution center site selection problem, and compared with several other improved ABC algorithms, GRABC has better results.