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《Journal of Xiamen University(Natural Science)》 2009-02
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Goods Location Assignment Optimization of AVS/RS Based on Discrete Particle Swarm Optimization

LUO Jian,ZHONG Shou-gui,WU Chang-qing(School of Information Science and Technology,Xiamen University,Xiamen 361005,China)  
To improve the efficiency of goods location assignment in autonomous vehicle storage and retrieval system,an optimal method based on discrete particle swarm optimization is proposed.The mathematic model of goods location assignment optimization is established based on the model,the strategy of section assignment is proposed and the DPSO is adopted to minimize the makespan under the deadlock-free scheduling.Finally,a case study is given to validate the algorithm.
【CateGory Index】: TP301.6
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