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《Computer Integrated Manufacturing Systems》 2011-02
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Modeling and optimization of RGV system based on improved QPSO

LUO Jian,WU Chang-qing,LI Bo,YIN Hua-yi,ZHANG Qian(School of Information Science & Technology,Xiamen University,Xiamen 361005,China)  
To improve the performance of Rail-Guided Vehicles System(RGVS) in Automatic Vehicle Storage and Retrieval Systems(AVS/RS),an optimization method based on improved Quantum Particle Swarm Optimization(QPSO) was proposed.Firstly,sequencing characteristics of tasks in RGVS were analyzed,and a mathematical model was established.Then,a QPSO algorithm was proposed to solve the scheduling problem.Meanwhile,the Gaussian mutation operator was introduced into this algorithm to overcome its shortcoming of falling into local convergence.Finally,feasibility and effectiveness of the presented method was shown by experimental results.
【Fund】: 国家自然科学基金资助项目(60975052);; 厦门大学国家“211三期工程建设”资助项目(0630-E62000)~~
【CateGory Index】: TP273
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