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非线性最小二乘估计的蚁群单纯形混合算法

Ant Colony and Simplex Hybrid Algorithm Based on Nonlinear Least Squares Estimation
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摘要 基于对单纯形算法和蚁群算法的分析,提出了非线性最小二乘估计的蚁群单纯形混合算法,并用实例证实了该算法既具有单纯形算法收敛较快的优点,又能以较大概率得到全局最优。 On the basis of analyzing the simplex method and ant colony algorithm, an ant colony and simplex hybrid algorithm based on nonlinear least squares est imation is put forward. Further more, the experimental results indicate that the method have simplex method's advance of fast convergence and great probability for global optimization.
出处 《地理空间信息》 2005年第3期51-53,共3页 Geospatial Information
基金 国家自然科学基金项目资助(编号40474003)
关键词 非线性最小二乘估计 混合算法 单纯形算法 蚁群算法 算法收敛 全局最优 概率 nonlinear least squares estimate simplex algorithm ant colony algor ithm global optimization
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