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基于pareto进化的算法的遗传算法,差分进化算法源程序-pareto Differential Evolution Algorithm
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基于MATLAB的差分进化算法优化神经网络的源程序-MATLAB based on the differential evolution algorithm for optimization of neural network source code
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差分进化算法是一种新兴的进化计算技术它是由Storn等人于1995年提出的,和其它演化算法一样,DE是一种模拟生物进化的随机模型,通过反复迭代,使得那些适应环境的个体被保存了下来。-Differential evolution algorithm is a new evolutionary computation technique which is proposed by Storn et al in 1995, like other evolutionary algorithms, DE i
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差分演化算法,用于求解多峰函数最优解十分有效,最近兴起。和PSO有的一拼-differential evolution algorithm
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微分进化算法优化三种测试函数fortran代码。-Differential evolution algorithm optimize three test functions.
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The purposed approach utilizes Differential Evolution (DE) to optimize an image processing chain which has successfully been used to segment breast ultrasound and X-ray lung images. The training is based on three sample images provided by an expert.
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差分进化算法,一个类似于遗传算法的进化算法,其中一些参数可以自己设定,目标函数也可以自己设定。-Differential evolution algorithm, a genetic algorithm similar to the evolutionary algorithm, some of the parameters can be set by themselves, the target function can also set their own.
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An optimization tools for matlab coding
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多目标进化算法框架,包括MOEAD、NSGA2等经典多目标进化算法。-The MOEA Framework is a free and open source Java library for developing and
experimenting with multiobjective evolutionary algorithms (MOEAs) and other
general-purpose multiobjective optimization algorithms. Th
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一种差分进化算法的变体,收敛性能及其优秀,大家可以参考-a variant based on differential evolution algorithm,which has a better convergence performance.
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改进的差分进化算法优化的灰色模型,灰色模型采用的GM(1,1)。-The improved differential evolution algorithm is optimized for the gray model, and the gray model uses GM (1,1).
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一种改进的差分进化算法,可以显示收敛曲线-An improved differential evolution algorithm
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Python version of Differential Evolution algorithm applied for clustering problem
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教与学算法,局部优化算法,收敛快,精度高。可与差分进化等全局寻优算法配合使用,这个算法的特点就是局部收敛速度快。-56/5000
Jiào yǔ xué suànfǎ, júbù yōuhuà suànfǎ, shōuliǎn kuài, jīngdù gāo. Kě yǔ chāfēn jìnhuà děng quánjú xún yōu suànfǎ pèihé shǐyòng, zhège suànfǎ de tèdiǎn jiùshì júbù shōuliǎn sùdù kuài.
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差分进化算法,有测试函数,是遗传算法的改进算法,收敛快,精度高。-Differential evolution algorithm, a test function, is an improved genetic algorithm algorithm, fast convergence, high precision.
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多目标DE算法,子程序有拥挤距离计算,非支配解排序,模型等,多学习多目标算法很有帮助-multi-objective DE algorithm差分进化算法(Multi objective DE algorithm, subroutines have crowding distance calculation, non dominated sorting, model, etc., multi learning multi-objective algorithm is very helpful,
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使用差分进化算法对系统函数进行优化,使得系统指标最小(The differential evolution algorithm is used to optimize the system function, which makes the system index minimum)
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光伏阵列基于升压电路(BOOST)的最大功率跟踪算法 -差分进化算法,适用于多峰条件(Photovoltaic array based on booster circuit (BOOST) maximum power tracking algorithm, differential evolution algorithm, is suitable for the multi-peak conditions)
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最大功率跟踪算法(mppt),差分进化算法(de),适用于多峰条件(Photovoltaic array based on booster circuit (BOOST) maximum power tracking algorithm, differential evolution algorithm.IT is suitable for the multi-peak conditions)
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基于差分进化算法的优化算法。在MATLAB平台上运行,可以解决参数优化问题。是一种遗传算法。(Differential evolution algorithm)
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