Title :
Immune optimization algorithm for distribution centers allocation problem
Author :
Yang, Kongyu ; Gao, Binbin
Author_Institution :
Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
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.
Keywords :
logistics; optimisation; resource allocation; adaptive-immune optimization algorithm; crossover operator; distribution center allocation problem; logistics network; mathematics model; mutation operator; Algorithm design and analysis; Biological system modeling; Cost function; Genetic mutations; Immune system; Information management; Information science; Logistics; Mathematical model; Mathematics; allocation problem; distribution center; evolutionary computation; immune algorithm;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477543
