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本文通过运用线性规划法、蒙特卡洛法和遗传算法对相同的烧结配料问题进行
优化,并对得到的结果进行了分析,从最终结果、求解效率、易用性等方面比较了3种方法的
优劣,最后得出结论:遗传算法更适应今后烧结配料优化的计算要求。
-In this paper, through the use of linear programming, Monte Carlo method and genetic algorithm to the problem the same ingredients to
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to optimize an object using Genetic Algorithm
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This project focuses on calculating the similarity between the images using genetic algorithm and haar-wavelet. Haar wavelet is being used in order to calculate the images with different features like various expressions or gloomy or other characteri
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C语言蚂蚁遗传算法实现，软件开发环境MDK_keil。求出类似正弦波形的极大值和极小值。-The ant genetic algorithm C language implementation, MDK_keil software development environment. The maximum and minimum of similar to sine wave value.
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Genetic algorithm based reactive power optimization, Course designed to prepare the matlab program code, Can dynamically adjust the parameters of the operating environment.
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Least-squares algorithm to fit a three-dimensional plane, Based on negative entropy largest independent component analysis, Genetic algorithms using MATLAB path planning.
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Matlab to achieve user-friendly, Genetic algorithms using MATLAB path planning, K-means clustering algorithm based on the PSO.
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Monte Carlo simulation method of calculating the American option price and basic descr iption, Genetic algorithm based reactive power optimization, Matlab to achieve user-friendly.
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Genetic algorithm based reactive power optimization, ML estimation method can be a good signal to noise ratio, Calculation of the Euclidean distance between the two matrices.
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Genetic algorithm based reactive power optimization, Including AHP, factor analysis, regression analysis, cluster analysis, There is a well attenuation curve as input to calculate its seismic waves.
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Algorithm optimization is very good, almost no circulation, ML estimation method can be a good signal to noise ratio, Genetic algorithms using MATLAB path planning.
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