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FastICA and Infomax are the most popular algorithms for calculating independent components. These two optimization process usually lead to unstable results. To overcome this drawback, a genetic algorithm for independent component analysis has been developed with enhancement of the independence of the resulting components. By modifying the FastICA to start from given initial point and adopting a new...
This paper presents an original usage of genetic algorithm in application to 2-D aerial image registration with position and similarity constraints. The framework of the presented method includes four steps: feature points extraction, mesh generation, mesh registration and image registration. First, the position and inner position constraints are selected based on the visual features manually or automatically...
Ant Colony Optimization (ACO) , an intelligent swarm algorithm, proves effective in various fields. However, the choice of the first route and the initial distribution of pheromone are among the toughest yet most crucial factors in determining the performance of process optimization. According to the materials we referred to, almost all the existing methods of ACO set the same constant in all routes...
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