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- float genetic algorithms ( FGA ) 实数遗传算法
- float genetic algorithms(FGA) 实数遗传算法
- The whole rolling optimization procedure was finished by fuzzy genetic algorithms (FGA). 基于模糊遗传算法完成非线性预测控制的滚动优化过程。
- Incorporated GFAC in control system, using float-encoding genetic algorithms (FGA) to optimize parameters, a FGA-GFAC controller is described. 将GFAC神经网络用于控制系统中，并利用浮点数编码的遗传算法(FGA)对参数寻优，给出一种FGA-GFAC控制器。
- FGA-FEM was put forward to optimize the floatwall structure, and FGA-FEM combined Fuzzy Genetic Algorithm (FGA) and Finite Element Method (FEM). 本文提出一种采用有限元方法(FEM)和模糊遗传算法相结合的方法即模糊遗传算法-有限元的结构优化方法(FGA-FEM),并将该方法应用于燃烧室浮动壁结构的优化计算和分析,取得了较好的效果。
- A hybrid code genetic algorithms which efficiently combines float code with gray code is proposed in this paper. 本文提出了一种结合浮点数编码和格雷码编码的混合编码遗传算法。
- Section for the link to the Genetic Algorithms FAQ. 中遗传算法常见问题解答的链接部分。
- Holland created the genetic algorithms. 霍兰是遗传算法发明人。
- This procedure is used genetic algorithms to TSP. 本程序是用遗传算法来求解TSP问题。
- So what is the genetic algorithm? 那么什么是遗传算法呢?
- A real zooming genetic algorithm is put forth. 进而提出基于实数编码的变焦遗传算法。
- The Application of floating Genetic Algorithms to Solving Non-linear equation groups 浮点遗传算法在非线性方程组求解中的应用
- The Convergence of Floating Genetic Algorithms and Its Application in Model Parameter Extraction 浮点遗传算法的收敛性及其在模型参数提取问题中的应用
- First, the relevant problems with GA are studied, a float-coded genetic algorithm (FGA) is designed, it has advantages of fast convergence, high accuracy to find the best solution and ease for implementation. 首先对遗传算法的相关问题进行了研究,给出了一种收敛速度快、寻优精度高、实现方便的浮点数编码遗传算法(FGA),通过对几个著名的遗传算法测试函数进行寻优,验证了其有效性,说明在实值函数寻优问题上,FGA优于二进制编码遗传算法,并基于有限Markov链证明了所设计的FGA的收敛性。
- A genetic algorithm with a dual fitness function was proposed. 摘要提出一个具有对偶适应度函数的遗传算法。
- Test result indicates the advantage of genetic algorithm. 试验结果证实了采用遗传算法求解全局优化问题的优越性
- Balmer formula is reconstructed based on genetic algorithm. 基于遗传算法构建了巴耳末公式 .
- Genetic algorithm is a constrained stochastic optimization method. 遗传算法是一种约束随机优化方法。
- Immune genetic algorithm(IGA) is applied to canal transect design. 合肥工业大学土木与建筑工程学院;
- Extractant design using improved genetic algorithm with Mod. UNIFAC group contribution (采用改进的遗传算法与Mod.
