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- 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。
- 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。
- SPEED UP THE SEARCH OF FUZZY GENETIC ALGORITHM 加快遗传模糊算法的搜索过程
- A fuzzy genetic algorithms is proposed.FGA can improve the performance of GA by means of controlling the crossover rate Pc and mutation rate Pm. 提出了一种模糊遗传算法(FGA)，对交叉率和变异率进行模糊控制，有效地提高了收敛速度，避免了不成熟收敛。
- fuzzy genetic algorithm(FGA) 模糊遗传算法
- Parameter of Parallel Multi-Deme Fuzzy Genetic Algorithm 并行多种群模糊遗传算法参数
- fuzzy genetic algorithms (FGA) 模糊遗传算法（FGA）
- Application of Fuzzy Genetic Algorithm in Optimized Combustion Control of Hot-blast Stove 模糊遗传算法在热风炉优化燃烧控制中的应用
- Structure Optimization Based on Global Control Fuzzy Genetic Algorithms 一种全程控制的模糊遗传算法在结构优化中的应用
- So what is the genetic algorithm? 那么什么是遗传算法呢?
- fuzzy genetic algorithm 模糊遗传算法
- 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。
- 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。
- The shapes and rotations of the membership functions in each fuzzy rule are learned by the Genetic Algorithm. 基因法则主要是学习每一模糊法则中归属函数的外型与旋转角度。
- 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
- 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。
- 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;
