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《Journal of Fuzhou University(Natural Science Edition)》 2006-01
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Annealing variable hybrid genetic algorithm for workload allocations in discrete manufacturing systems

XU Jin~1,ZHENG Ying-wen~1,CHEN Peng~2(1.Institute of Automation,Fuzhou University,Fuzhou,Fujian 350002,China;2.The IT Department of Longyan Telecom Co.Ltd,Longyan,Fujian 36400,China)  
This paper describes the relationship between workload and storge,and sets up a corresponding nonlinear model.In order to avoid the prematurely convergence of genetic algorithm,a simulated annealing variable is introduced to deal with the selective probability,which is showed by an example that the method can be applied to solve the problems of workload allocations.
【Fund】: 福建省教育厅科研资助项目(JB03032)
【CateGory Index】: TB115
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