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   Optimization on production-inventory problem with multistage and varying demand  
   
نویسنده gang d. ,li c. ,li y.-z. ,song j.-y. ,tanweer a.
منبع journal of applied mathematics - 2012 - دوره : 2012 - شماره : 0
چکیده    This paper addresses production-inventory problem for the manufacturer by explicitly taking into account multistage and varying demand. a nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon. a genetic algorithm is developed for the problem. a series of computational experiments with different sizes is used to demonstrate the efficiency and universality of the genetic algorithm in terms of the running time and solution quality. at last the combination of crossover probability and mutation probability is tested for all problems and a law is found for large size. © 2012 duan gang et al.
آدرس school of traffic and transportation,lanzhou jiaotong university, China, department of mathematics,lanzhou city university, China, school of traffic and transportation,lanzhou jiaotong university,lanzhou 730070,china,northwest traffic economy research center,lanzhou jiaotong university, China, school of traffic and transportation,lanzhou jiaotong university, China, school of traffic and transportation,lanzhou jiaotong university, China
 
     
   
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