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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。
Introduces the fitness scaling to improve traditional fitness function. 采用适应度的指数尺度变换改进传统的适应度评价函数。
Feel free to modify the fitness function and the dictionary to breed your own English words. 您可以任意修改适应性函数和dictionary来繁殖您自己的英语单词。
It works best if the fitness function is applied to the DNA as a series of bits. 如果把应用于DNA的适应性官能看成是一系列的二进制位,效果最好。
Taking the selection of point as example, this article lucubrates the keys of the model-coding, fitness function, etc. 以点群目标选取为例，对基于遗传算法的制图综合模型中编码、适应度函数等关键性问题进行了深入的探讨。
The result of GSA achieves the coverage of 95.64 percent and the fitness function value is 0.8706. 仿真结果表明，遗传模拟退火算法运行结果的覆盖率为95.;64%25，目标函数值为0
Deferent fitness function was built for the feasible and infeasible individual in the population, respectively. 为群体中的可行解和不可行解分别定义不同的适应度函数。
The fitness function of IA wass evaluated in terms of collision, distance, corner and safety parameters. 文中定义了免疫算法的多因素适应度函数由碰撞系数、距离、转角和安全系数决定。
A alterable fitness function genetic algorithm was brought forward to improve common genetic algorithm. 在研究遗传算法求解问题的时候，提出了可变适应度函数的遗传算法，这是对一般的遗传算法改进。
It is especially entertaining to play with the fitness function in the second example, and watch English words appear out of noise. 试试第二个例子中的fitness函数,看着英文单词从原本无意义的字母和空格中出现,这真是一项非常有意思的娱乐。
SVM establishes the prediction model for the microbial process，and RGA taking the model as fitness function calculates the optimal control pattern. SVM建立微生物发酵过程的预估模型，RGA以此模型为适应度函数计算最优控制模式。
Moreover the effect of various number of particles, number of iterations and the different fitness function on the detection performance was discussed. 最后还讨论了粒子数目、迭代次数和适应度函数对算法性能的影响。
MFF optimizes the fitness function in GEP by special approach called probability correlation factor,which increases the precision by 27%. MFF中采用了有特色的概率相关系数对GEP中的适应度函数进行优化,使得精度提高了27%25。
Traditional genetic algorithm is promoted.As far as the construction of fitness function, it adds the measure of symmetry, uniformity and smoothness. 对原有的遗传算法做了改进，在适应度函数构建方面增加了对称度、均匀度和平滑度的度量。
There are two new method presented for the HGA.Firstly, a dynamic fitness function is introduced according to the requirement of the scheduling problem. 该算法在设计过程中针对该问题的特点，设计了一种动态适应度函数；
Compared with standard GA used to deal with the problem there are some improvements in such as code, fitness function, selection, crossover, mutation, and end condition. 对该问题在遗传算法的编码、适应度函数、选择复制操作、交叉方法、交叉概率、变异概率和终止条件等各个环节进行了改进。
Finally, we analyze how to choose the regularization parameter in the fitness function, and compare the results with that of iterative regularized interpolation algorithm. 最后,还分析了在遗传算法中怎样直接调整正则化系数,并将实验获得的该正则化系数应用于相同实验条件下的迭代正则化插值算法中,取得了良好效果。
The new mathematical results allow calculation of this mechanism when the fitness function and the mutation, recombination and horizontal gene transfer rates are known. 当适应度函数和突变、重组及水平基因转移率已知时，该项新的数学上的结果可以使这一机制运算化。
"That's what we're doing here," he said."If you know the recombination rate, mutation rate and fitness function, our formula can analytically predict the properties of the system. 他说“这就是我们正在做的事情，如果你知道重组率、突变率以及适应度函数，我们的公式将可以分析预测该系统的属性。
Position vector of a PSO is wight vector of trained FNN, and fitness function of the PSO is object function of trained FNN, the FNN is then trained by evolving the PSO. PSO的位置向量对应模糊神经网络的权值向量,而PSO的适应函数对应模糊神经网络的目标函数,然后,通过演化PSO达到训练模糊神经网络的目的。