Title :
Research of Genetic Algorithm in the Medical Logistics Distribution Routing Optimization
Author :
Zhang Jin ; Fei Teng
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Based on analysis of medical logistics characters, reasonable thesis and subject conditions of medical logistics math model were proposed. At the same time, the objective function of the medical logistics distribution routing optimization was composed. The genetic algorithm has the ability of finding the optimization routing. The optimization of the objective function was obtained by genetic algorithm. The experimental results show that the genetic algorithm possesses the better optimization quantity and effect in the medical logistics distribution routing.
Keywords :
distribution strategy; genetic algorithms; logistics; medicine; genetic algorithm; medical logistics distribution routing optimization; medical logistics math model; Costs; Distributed computing; Educational institutions; Genetic algorithms; Hospitals; Instruments; Logistics; Office automation; Routing; Vehicles; Genetic algorithm; medical logistics; routing optimization;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.116
