Study on distribution center location based on simulated annealing-particle swarm optimization

According to the model of distribution center location, this paper establishes a SA-PSO algorithm, which combines the particle swarm optimization algorithm and simulated annealing. Using a mixed binary and floating-point coding method to avoid increasing scale complexity, the algorithm improves particle swarm optimization algorithm which is very easy to get in trouble with local extremum, also it increases convergence speed and accuracy. The numerical result indicates that the SA-PSO algorithm is an effective method of solving the problem of choosing the distribution centers location which can overcome the low precision of the basic particle swarm optimization algorithm. In addition, the SA-PSO algorithm has high quality and efficiency of searching.