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The registration of medical images with local deformation is a difficult problem, especially the images to be registered not only have local deformation but also have great difference in gray-scale distribution. It is a excellent method to solve this problem by adding the Euclidean Distance Metric based on landmark points as the penalty term to the Intensity-based metric in the registration. In this...
In this paper, we address the optimization problem of SLA-constrained service composition. Focusing on the main drawbacks of traditional approaches surveyed:1) the difficulties in preference definition and weight assignment, 2) the limitation of linear utility function for identifying preferred skyline solutions, and 3) the poor efficiency and scalability of algorithms, we present a systematic approach...
In order to improve the clustering quality of the Affinity Propagation algorithm further and get more accurate number of clusters, this paper proposed a novel algorithm based on the Particles Swarm Optimization, which used In-Group Proportion index as fitness function to search the optimal preference of Affinity Propagation algorithm. Experimental results show that the predicted results had been tested...
Level of detail techniques are widely applied to minimize sampling error subject to working set size constraints. Typical large data sets being produced today have many variables sampled across time-varying volumes. Visualization of these multivariate volumes is commonly phrased in terms of conditional expressions such as “show variable A where variable B is between B1 and B2.” The bounds, B1 and...
Particle Swarm Optimization combines with Munkres algorithm is proposed for Point Pattern Matching in three dimensions. Point Pattern Matching is a fundamental aspect of many fields in computer vision and pattern recognition. The point pattern matching technique could be described as finding an optimal transformation for one point pattern to the other under some measures. The proposed algorithm can...
The characteristics of jobbing work are analyzed, and a systematic structure for design automation in jobbing work circumstance is present. Based on product module library and frame-structured design knowledge library, new product's scheme pattern configuration and parameters' calculation proceed to fulfill automated design process. Then, making use of the results of primary design, the optimized...
An integrated design and optimization platform for vehicles vibration isolation system is presented. The integrated platform can not only direct the design by getting the precise analyze result of 3D models, but also carry through multi-objective optimization based on genetic algorithms. These can both expedite the optimization and improve the optimization result. Furthermore, we validate the reliability...
This article presents an EA-based design optimization tool for a three-phase voltage source inverter with diode front-end rectifier used for industrial motor drive power stage considering all major subsystems front-end rectifier, inverter and thermal management system, and EMI filter. Analytical relationships are developed and implemented into three optimizers. Global optimization is achieved by considering...
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