To decompose an unbalanced multi-stage logistic system to multipleindependent single-stage logistic systems, a new notion of parameterized interface distribution ispresented. For encoding the logistic pattern on each ...To decompose an unbalanced multi-stage logistic system to multipleindependent single-stage logistic systems, a new notion of parameterized interface distribution ispresented. For encoding the logistic pattern on each stage, the Pruefer number is used. With theimproved decoding procedure, any Pruefer number produced stochastically can be decoded to a feasiblelogistic pattern, which can match with the capacities of the nodes of the logistic system. Withthese two innovations, a new modeling method based on parameterized interface distribution and thePriifer number coding is put forward. The corresponding genetic algorithm, named as PIP-GA, can findbetter solutions and require less computational time than st-GA. Although requiring a little moreconsumption of memory, PIP-GA is still an efficient and robust method in the modeling andoptimization of unbalanced multi-stage logistic systems.展开更多
This paper presents a novel interactive system for establishing compatible meshes for articulated shapes.Given two mesh surfaces,our system automatically generates both the global level component correspondence and th...This paper presents a novel interactive system for establishing compatible meshes for articulated shapes.Given two mesh surfaces,our system automatically generates both the global level component correspondence and the local level feature correspondence.Users can use some sketch-based tools to specify the correspondence in an intuitive and easy way.Then all the other vertex correspondences could be generated automatically.The cross parameterization preserves both high level and low level features of the shapes.The technique showed in the system benefits various applications in graphics including mesh inter-polation,deformation transfer,and texture transfer.展开更多
文摘To decompose an unbalanced multi-stage logistic system to multipleindependent single-stage logistic systems, a new notion of parameterized interface distribution ispresented. For encoding the logistic pattern on each stage, the Pruefer number is used. With theimproved decoding procedure, any Pruefer number produced stochastically can be decoded to a feasiblelogistic pattern, which can match with the capacities of the nodes of the logistic system. Withthese two innovations, a new modeling method based on parameterized interface distribution and thePriifer number coding is put forward. The corresponding genetic algorithm, named as PIP-GA, can findbetter solutions and require less computational time than st-GA. Although requiring a little moreconsumption of memory, PIP-GA is still an efficient and robust method in the modeling andoptimization of unbalanced multi-stage logistic systems.
基金supported by the National Natural Science Foundation of China(No.60773179)the joint grant of the National Natural Science Foundation of China and Microsoft Research Asia(No. 60776799)the National Basic Research Program (973) of China(No.2004CB318006)
文摘This paper presents a novel interactive system for establishing compatible meshes for articulated shapes.Given two mesh surfaces,our system automatically generates both the global level component correspondence and the local level feature correspondence.Users can use some sketch-based tools to specify the correspondence in an intuitive and easy way.Then all the other vertex correspondences could be generated automatically.The cross parameterization preserves both high level and low level features of the shapes.The technique showed in the system benefits various applications in graphics including mesh inter-polation,deformation transfer,and texture transfer.
