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- optimal fitness function 最佳适应度函数
- 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。
- 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。
- By using hyperbolas to fit axial curves, considering the maximal error of the fitting curves as the objective function, the optimal fitting hyperb. 通过双曲线来拟合齿向曲线,使拟合曲线的最大误差为目标函数,利用优化的方法,使最大误差最小,得到最优的拟合双曲线,从而加工出所需要的齿形。
- 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。
- The aim of both types is to proide optimal fit both proximally and distally and thereby achiee axial and rotational stability by irtue of their shape. 这两种类型的目的都是为了在远近端都获得最佳匹配，从而凭借其形状获得轴向和旋转稳定性。
- 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。
- 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。
- Gu S L,Hui D F,Mo H D.The optimal fitting of the nonlinear equation with contraction-expansion algorithm[J].Acta Agron.Sin.,1998.24(5):513-519. [13]顾世梁;惠大丰;莫惠栋.;非线性方程最优拟合的缩张算法[J]
- 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。
