Titlebook: Advanced Research on Computer Education, Simulation and Modeling; International Confer Song Lin,Xiong Huang Conference proceedings 2011 Spr

AGGER

宽宏大量

Biological Soil Crusts of Africainterval tests shows that: the model has reasonable goodness of fit to the historical flight data, and the search performance of traditional EM algorithm can be improved by ideals of Genetic Algorithm.

FILLY

Biological Soil Crusts of the Middle Eastensure the clarity of the fusion image. The comparison between the traditional method and this new method is made from the three aspects: independent factors, united factors and comprehensive evaluation. The experiment proved the usefulness of the method, which is able to keep the edges and obtain better visual effect.

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Domesticated animals and cultivated plantso adaptive tabu length to control the searching capability dynamically; At last, it uses simulated experiments to prove the effectiveness and feasibility of this algorithm, and provides clues for massively solving practical problems.

EWER

Biological Soil Crusts of Antarcticath time and visiting time constraints. After a mixed integer programming model is proposed, a novel optimal dynamic labeling algorithm is designed based on the idea of network planning and dynamic programming. Finally, a numerical example is presented to show the validity and feasibility of this algorithm.

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