Application Of Particle Swarm Optimization Algorithm In Solving Domain Partition Problem In Modeling Of The Local Volume Splines

Via computer graphics techniques,Visualization in scientific computing (ViSC) transforms data produced by scientific computing into geometric graphics or images so that they can be displayed on screens and be manipulated interactively. Now ViSC has become a strong tool for the discovery and understanding of many scientific phenomena in the ocean domain.The key point of ViSC is the visualization of 3D data sets. Of them scattered data play an important role. It has consistently been a challenging issue in the field of scientific visualization to develop highly efficient, accurate and easily implemented algorithms for large scattered volumetric data sets. One of the cruxes of the matter is modeling for this kind of data sets.The local volume splines is one of the main modeling methods in the visualization of large scattered volumetric data sets. Comparing with other methods, it has high modeling precision and can be carried out easily. But at first, a good partition on the modeling domain is crucial to the implementation of it. In this paper, a Particle Swarm Optimization approach is presented to carry out optimization partition of domain.Then water mass analysis methods, tree clusterring and fuzzy mathematics , are applied to visualize the modeling results. First tree clustering is appllied to divide the mass,then the methods of fuzzy mathematics are used to analyze the water mass. So a primary research is made to define the boundary, core and mixing zone of water masses.At last, the methods of modeling and water mass division are applied to study two sets of oceanic investigation data are. A series of result images of water masses...