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《Science & Technology Vision》 2014-01
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Multiple People Picking Assignment and Routing Optimization Based on Genetic Algorithm

SUN Hui;Complexity Science Institute,Qingdao University;  
In order to improve the picking efficiency,reduce the picking time,this paper take artificial picking operation of a certain distribution center which has double-area warehouse as the studying object. Discuss the picking task allocation and routing problems. Establish the TSP model of order-picking system. Create a heuristic algorithm bases on the Genetic Algorithm(GA) which help to solve the task allocating problem and to get the associated order-picking routes. And achieve the simulation experiment with the Visual 6.0C++ platform to prove the rationality of the model and the effectiveness of the arithmetic.
【Fund】: 国家自然科学基金项目资助(70671057);; 山东省自然科学基金项目资助(ZR2010GM006)
【CateGory Index】: F250;F224
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