Title :
Multi-ant colony optimization algorithm for the route optimization of logistic distribution
Author :
Li, Zhou-Fang ; Bai, Hao
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
A mathematical logistic distribution model with constraints was constructed, a multi-ant colony virtual parallel optimization algorithm was presented to solve the route optimization problem of logistic distribution. To enhance the self-adaptability of the ant colony algorithm and enhance the converging rate and global search capability ,pheromone updating strategy was improved. Experimental results show that the optimal or nearly optimal solutions to the logistic distribution routing can be quickly obtained by the improved multi-ant colony virtual parallel optimization algorithm.
Keywords :
goods distribution; logistics; optimisation; search problems; global search capability; logistic distribution routing; mathematical logistic distribution model; multiant colony virtual parallel optimization algorithm; pheromone updating strategy; route optimization; Modems; Optimization; Variable speed drives; Algorithm; Ant colony; Logistic distribution; Optimization;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643874