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基于差分进化算法求解的TSP问题。运用LOV策略，成功将DE应用在离散组合优化问题当中。-Based on differential evolution algorithm for solving TSP problem. Use LOV strategy successfully applied in DE among discrete combinatorial optimization problems.
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差分进化算法是遗传算法的一种，该段代码实现该算法功能，简单易懂-Differential evolution algorithm is a genetic algorithm, the function of the code implementing the algorithm is simple and easy to understand
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运用差分进化算法（DE）优化分数阶pid控制器-Use of differential evolution algorithm (DE) optimization of fractional order pid controller
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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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差分进化基本程序 差分进化基本程序 差分进化基本程序 -Differential evolution basic procedures
Differential evolution basic proceduresDifferential evolution basic procedures
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一种标准的求解目标函数最优解的差分进化算法。-A standard objective function optimal solution for solving differential evolution algorithm.
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改进的差分进化算法，以无线传感器分布为例-Improved differential evolution algorithm for wireless sensor distribution as an example
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code差分进化是一种群智能算法，得到了广泛的应用-differential evolution
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Differential evolution code
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微分进化算法是一种非常重要的参数寻有选择算法，可以有效的选择一些控制算法参数。-The differential evolution algorithm to search the global optimal solution of the
stochastic optimization algorithm is an analog of the natural biological evolution. Because
the differential evolution
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自创的差分进化算法，用于布拉格光纤光栅波长解调优化问题，含有噪声信息-Homemade differential evolution algorithm for optimization of fiber Bragg grating wavelength demodulation problems with noise information
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微分进化(DE) 是比较新的基于群体的随机优化方法。它具有简单、快速、鲁棒性好等特点，这是一个微分基本算法程序-Differential evolution (DE) is a relatively new method of population-based stochastic optimization. It has a simple, fast, robust and good features, which is a basic algorithm of differential
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这是一个简单的微分进化算法的程序。有兴趣的朋友可以-This is a simple differential evolution algorithm procedures. Interested friends can see
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用差分进化算法对极限学习机进行优化，得到的极限学习机的诊断精度有了明显提高。-Using differential evolution algorithm to optimize the ultimate learning machine, diagnostic accuracy obtained Extreme Learning Machine has been significantly improved.
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基于文献“2009 Differential evolution algorithm with strategy adaptation for global numerical optimization”，使用Matlab 7.0实现的算法- 2009 Differential evolution algorithm with documentary strategy adaptation for global numerical optimization based on the imple
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差分进化算法的一种改进形式，调节变异规则来达到改进目的-An improved form of differential evolution algorithm, adjusting variation rules to achieve improvement
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java差分进化算法代码，代码准确率很高，其中有参照C++代码。-java differential evolution algorithm code
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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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差分进化算法的示例程序，适用于刚刚开始接触这个算法的人- differential evolution
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文档是关于差分进化的改进算法，通过自适应的改变差分进化的参数，有效地提高了算法的性能，有测试函数和数据，可直接运行-Documentation is on improved differential evolution algorithm, by changing the parameters of the adaptive differential evolution, and effectively improve the performance of the algorithm, ther
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