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《Acta Geodaetica Et Cartographic Sinica》 2003-04
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Classification of Image Texture by Combination of Genetic Algorithm and Simplex Method

ZHENG Zhao-bao(School of Information Engineering on Remote Sensing, Wuhan University, Wuhan 430079,China)  
Propose a new method to classify image texture by combination of Genetic algorithm and Simplex method(GASPX).The Simplex method is a local searching method that gets the new simplex points by reflection,expansion and contraction.Then we can get new simplex through the new simplex points.The new simplex is closer to the local optima than the previous simplex.The method converges quickly and can amend the defect that converges slowly of GA when combined with GA.We can avoid early convergence in the course of GA optimization through using many simplex searches of the optima of local area in parallel in the combinatorial algorithm.Experimental results show that GASPX is better than GA through the trial of recognition 5 kinds of aerial image texture and comparison with the result from GA.
【Fund】: 国家自然科学基金资助项目(40271094)
【CateGory Index】: TP391.41
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