Model Optimization of Flexible Manufacturing Systems based on Hybrid Genetic Algorithms
The increased use of flexible manufacturing systems (FMS) efficiently to provide customers with diversified products has created a significant set of operational challenges. Although extensive research has been conducted on design and operational problems of FMS,many problems remain unsolved. To improve the efficiency of FMS,the optimized model of FMS was proposed based on hybrid genetic algorithms (HGA),and then we introduce the basic procedure and genetic operation of HGA. Finally,an illustration of the optimized model shows that the solution quality by the HGA is better than that by genetic algorithms (GA). Traditional GA is usually of low efficiency because of its early convergence,however,the optimized HGA not only inherits GAs global optimization feature,but also can avoid premature convergence,and improve the efficiency greatly.
Flexible manufacturing systems (FMS) Optimization Genetic algorithms (GA) Hybrid genetic algorithms (HGA)
Haibiao Huang Jun Li
Department of Management Science and Engineering,Wuyi University,Jiangmen 529020,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
645-649
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）