美国FDA器械与辐射防护中心（center for devices and radiological health,CDRH）于2010年2月5日发布了《医疗器械临床试验贝叶斯统计应用指导原则》[1]。这是继2006年5月23日FDA发布该《指导原则》草案后[2],经过近3年的征求意见和深...美国FDA器械与辐射防护中心（center for devices and radiological health,CDRH）于2010年2月5日发布了《医疗器械临床试验贝叶斯统计应用指导原则》[1]。这是继2006年5月23日FDA发布该《指导原则》草案后[2],经过近3年的征求意见和深入研讨后所形成的官方指导性文件。展开更多
The traditional manner to design public transportation system is to sequentially design the transit network and public bicycle network. A new public transportation system design problem that simultaneously considers b...The traditional manner to design public transportation system is to sequentially design the transit network and public bicycle network. A new public transportation system design problem that simultaneously considers both bus network design and public bicycle network design is proposed. The chemical reaction optimization(CRO) is designed to solve the problem. A shortcoming of CRO is that, when the two-molecule collisions take place, the molecules are randomly picked from the container.Hence, we improve CRO by employing different mating strategies. The computational results confirm the benefits of the mating strategies. Numerical experiments are conducted on the Sioux-Falls network. A comparison with the traditional sequential modeling framework indicates that the proposed approach has a better performance and is more robust. The practical applicability of the approach is proved by employing a real size network.展开更多
文摘美国FDA器械与辐射防护中心（center for devices and radiological health,CDRH）于2010年2月5日发布了《医疗器械临床试验贝叶斯统计应用指导原则》[1]。这是继2006年5月23日FDA发布该《指导原则》草案后[2],经过近3年的征求意见和深入研讨后所形成的官方指导性文件。
基金Projects(71301115,71271150,71101102)supported by the National Natural Science Foundation of ChinaProject(20130032120009)supported by Specialized Research Fund for the Doctoral Program of Higher Education of China
文摘The traditional manner to design public transportation system is to sequentially design the transit network and public bicycle network. A new public transportation system design problem that simultaneously considers both bus network design and public bicycle network design is proposed. The chemical reaction optimization(CRO) is designed to solve the problem. A shortcoming of CRO is that, when the two-molecule collisions take place, the molecules are randomly picked from the container.Hence, we improve CRO by employing different mating strategies. The computational results confirm the benefits of the mating strategies. Numerical experiments are conducted on the Sioux-Falls network. A comparison with the traditional sequential modeling framework indicates that the proposed approach has a better performance and is more robust. The practical applicability of the approach is proved by employing a real size network.
