The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was investigated. The OTLAMR problem contains two sub-problems: the MMM...The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was investigated. The OTLAMR problem contains two sub-problems: the MMMCN reliabilities evaluation and multi-objective transmission lines assignment optimization. First, a reliability evaluation with a transmission line assignment (RETLA) algorithm is proposed to calculate the MMMCN reliabilities under the cost constraint for a certain transmission lines configuration. Second, the non-dominated sorting genetic algorithm II (NSGA-II) is adopted to find the non-dominated set of the transmission lines assignments based on the reliabilities obtained from the RETLA algorithm. By combining the RETLA and the NSGA-II algorithms together, the RETLA-NSGA II algorithm is proposed to solve the OTLAMR problem. The experiments result show that the RETLA-NSGA II algorithm can provide efficient solutions in a reasonable time, from which the decision makers can choose the best solution based on their preferences and experiences.展开更多
In order to modify the rail pre-grinding profile smoothly,non-uniform rational B-spline(NURBS)curve with weight factors is used to establish a parameterized model of the profile.A wheel-rail contact stochastic finite ...In order to modify the rail pre-grinding profile smoothly,non-uniform rational B-spline(NURBS)curve with weight factors is used to establish a parameterized model of the profile.A wheel-rail contact stochastic finite element model(FEM) is constructed by the Latin hypercube sampling method and 3 D elasto-plastic FEM,in which the wheelset's lateral displacement quantity is regarded as a random variable.The maximum values of nodal accumulated contact stress(NACS) and nodal mean contact stress(NMCS) in different pre-grinding profiles with differential weight factors are calculated and taken as the training samples to establish two Kriging models.A multi-objective optimization model of pre-grinding profile is established,in which the objective functions are the NACS and NMCS Kriging models.The optimum weight factors are sought using a non-dominated sorting genetic algorithm II(NSGA-II),and the corresponding optimum pre-grinding profile is obtained.The contact stress calculation before and after optimization indicates that the maximum values of NACS and NMCS decline significantly.展开更多
基金Projects(61004074,61134001,21076179)supported by the National Natural Science Foundation of ChinaProject(2009BAG12A08)supported by the National Key Technology Support Program of China+1 种基金Project(2010QNA5001)supported by the Fundamental Research Funds for the Central Universities of ChinaProjects(2012AA06A404,2006AA04Z184)supported by the National High Technology Research and Development Program of China
文摘The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was investigated. The OTLAMR problem contains two sub-problems: the MMMCN reliabilities evaluation and multi-objective transmission lines assignment optimization. First, a reliability evaluation with a transmission line assignment (RETLA) algorithm is proposed to calculate the MMMCN reliabilities under the cost constraint for a certain transmission lines configuration. Second, the non-dominated sorting genetic algorithm II (NSGA-II) is adopted to find the non-dominated set of the transmission lines assignments based on the reliabilities obtained from the RETLA algorithm. By combining the RETLA and the NSGA-II algorithms together, the RETLA-NSGA II algorithm is proposed to solve the OTLAMR problem. The experiments result show that the RETLA-NSGA II algorithm can provide efficient solutions in a reasonable time, from which the decision makers can choose the best solution based on their preferences and experiences.
基金the National Natural Science Foundation of China(No.51405516)the Doctoral Researchers Boosting Program of Xi’an Shiyou Universitythe Natural Science Foundation of Hunan Province(No.2015JJ2168)
文摘In order to modify the rail pre-grinding profile smoothly,non-uniform rational B-spline(NURBS)curve with weight factors is used to establish a parameterized model of the profile.A wheel-rail contact stochastic finite element model(FEM) is constructed by the Latin hypercube sampling method and 3 D elasto-plastic FEM,in which the wheelset's lateral displacement quantity is regarded as a random variable.The maximum values of nodal accumulated contact stress(NACS) and nodal mean contact stress(NMCS) in different pre-grinding profiles with differential weight factors are calculated and taken as the training samples to establish two Kriging models.A multi-objective optimization model of pre-grinding profile is established,in which the objective functions are the NACS and NMCS Kriging models.The optimum weight factors are sought using a non-dominated sorting genetic algorithm II(NSGA-II),and the corresponding optimum pre-grinding profile is obtained.The contact stress calculation before and after optimization indicates that the maximum values of NACS and NMCS decline significantly.
