搜索资源列表
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微分进化策略的C++源代码。该算法是寻找一个集合中最优个体的一种遗传算法。-Differential Evolution Strategy C++ source code. The algorithm is to find an optimal set of individuals of a genetic algorithm.
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优化设计算法：用微分进化法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发-Optimization Algorithm: Differential Evolution Method with the objective function of the optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 developmen
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优化设计算法：用微分进化法求目标函数的最优解和最优值，有约束条件，已经验证算法的正确性，visual C++6.0开发-Optimization Algorithm: Differential Evolution Method with the objective function of the optimal solution and optimal value, there are constraints, has verified the correctness of the algori
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提供最优参数集，用它更容易进行算法的微分进化。-his contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution.
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差分进化算法的一部分，希望对人有用，这个算法在处理数值反方面比较实用-Differential evolution part of the algorithm, and I hope to people useful, this algorithm in dealing with values of the more practical
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差分演化（DE）算法的源程序，包含有一些测试函数。-original procedure of differential evolution algorithm,including some test functions.
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hansen函数de算法 差分进化算法-hansen function de algorithm differential evolution algorithm
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To finding an optimum parameter set using the evolutionary algorithm of Differential Evolution-This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If y
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In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach
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Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法-Differential Evolution with Composite Trial Vector
Generation Strategies and Control Parameters
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给出了一种新的差分进化算法求解最优化问题实验结果显示算法有效-Gives a new differential evolution algorithm results display algorithm for solving optimization problems effectively
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实现了无约束条件下的微分进化算法，对于微分几何有重要意义，参考价值极高。-Differential evolution algorithm
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实现差分进化算法，并通过了rastrigr函数的测试，在全局上搜索得到了正确的结果。-Achieve differential evolution algorithm, and passed the test rastrigr function in the global search to get the correct results.
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Meta-heuristic clustering:
Source Code of:
GA: Genetic Algorithm
PSO: Particles Swram Optimization
HS: Harmony Search
DE: Differential Evolution
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用C编写一个差分进化算法。欢迎各位大神指正。-Differential Evolution Algorithm
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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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基于Python编写的差分进化原理的带边界条件约束算法(A band constraint algorithm based on differential evolution algorithm)
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