Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K

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Interactive Genetic Algorithms with Variational Population Sizericts these algorithms’ performances to some degree. In order to effectively improve these algorithms’ performances and alleviate user fatigue, we propose an interactive genetic algorithm with variational population size in this paper. In the algorithm, the whole evolutionary process is divided into

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A Unified Direct Approach to Image Registration and Object Recognition with a Hybrid Evolutionary Alobject or pattern recognition are addressed when the images of interest display significant geometric distortion due to some physical or geometrical conditions. The proposed method performs a direct multi-objective search in image response space for an optimal piece-wise affine transformation of the

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Two Step Template Matching Method with Correlation Coefficient and Genetic Algorithmr to improve the matching performance, the traditional normalized correlation coefficient method is combined with genetic algorithm. Normalized correlation coefficient method computes probable local position of the template in the scene image. And genetic algorithm computes global position and rotat

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On Multi-soft Sets Construction in Information Systemsdomain (value set) of attribute . which has multi value (|.. | ≥ 3), a decomposition can be made from .into |. | number of binary-valued information systems . = (.,.,..,.). In this paper, we present the notion of multi-soft set representing . based on such decomposition. The AND and OR operations in

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