Using an immune optimization algorithm to solve the distribution centers allocation problem

This paper introduced an adaptive immune optimization algorithm (IOA) for allocation optimization of distribution centers (DC). First, aiming the distribution centers allocation problem, among customers and their serving centers, on the basis of characteristics and demands of optimization for the total transport costs and time, a mathematical model for this optimization problem has been built. Then, for solving this problem, an adaptive immune optimization algorithm based on an improved crossover and a mutation operator was proposed. Finally, the algorithm simulation results show that the adaptive-IOA is better than the standard GA(SGA) in search efficiency and quality to such problems.