Description: 这是一个用matlab编制的DE算法的源程序，希望大家喜欢！-This is a preparation using the Matlab DE algorithm source, hope you like them! Platform: |
Size: 9216 |
Author:黄善理 |
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Description: 基于差分演化算法的源程序，非常好用。能处理多种函数优化问题。-Based on differential evolution algorithm source code, very easy to use. Able to handle a variety of function optimization problems. Platform: |
Size: 8192 |
Author:吴伟林 |
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Description: 差分进化算法的基础讲义和文档，都是英文版，属于基础资料，可以作为入门资料。-Differential evolution algorithm based handouts and documents are in English, is based on information that can be used as entry. Platform: |
Size: 265216 |
Author:李时针 |
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Description: ：组合差分进化算法CoDE是一新的具有竞争力的算法，但收敛速度和寻优性能仍有待改进。为解决上述问题，提出对
组合差分进化算法CoDE从生成策略和控制参数两个方面进行改进，提出了两种改进的CoDE版本MCoDE和MCoDE—P，并
利用6个典型的测试甬数对改进性能进行检验。结果表明结合了最好个体信息的MCoDE方法能够改善CoDE的寻优性能，
而采用控制参数扩展的MCoDE—P方法却难以达到期望的效果。-: Combined differential evolution algorithm CoDE is a new competitive algorithm, but convergence speed and optimization performance needs to be improved. In order to solve the above problem, the pair differential evolution algorithm CoDE generation strategy and control parameters from the two aspects of improvement, we propose two improved versions MCoDE CoDE and MCoDE-P, and using six typical test Yong Number on improving performance tested. The results show that combines the best individual information MCoDE method can improve CoDE the optimization performance, while the use of the control parameter expansion MCoDE-P method is difficult to achieve the desired effect. Platform: |
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Author:asda |
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Description: Gaussian Bare-Bones Differential Evolution
Differential evolution (DE) is a well-known algorithm
for global optimization over continuous search spaces. However,
choosing the optimal control parameters is a challenging task
because they are problem oriented. In order to minimize the
effects of the control parameters, a Gaussian bare-bones DE
(GBDE) and its modified version (MGBDE) are proposed which
are almost parameter free. To verify the performance of our
approaches, 30 benchmark functions and two real-world problems
are utilized. Conducted experiments indicate that the MGBDE
performs significantly better than, or at least comparable to,
several state-of-the-art DE variants and some existing bare-bones
algorithms. Platform: |
Size: 459776 |
Author:fifo_enp |
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Description: 差分进化方法是一种新的智能算法，可以和多种算法结合，例如神经网络优化；约束性算法；线性算法。-Differential evolution method is a new intelligent algorithm, and can be combined with a variety of algorithms, such as neural network optimization constraint algorithm linear algorithm. Platform: |
Size: 1024 |
Author:wangming |
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Search - Differential Evolution