Immune optimization algorithm for distribution centers allocation problem

This paper introduced an adaptive immune optimization algorithm for allocation optimization of distribution centers. With the characteristics and demands of allocations of distribution centers, a mathematics model has been made on DC allocations problems on the basis of the optimization of the total transport costs and time among customers and their serving centers. An adaptive-immune optimization algorithm(IOA) based on improved crossover and mutation operator was proposed to solve the problem. The simulation results show that the adaptive-IOA is better than the standard GA(SGA) in search efficiency and equality.