MF-GEP algorithm was proposed to reduce the fitting space.

提出了移动拟合gep算法(MF - GEP)，缩小了拟合空间。

This GEP method for GPS height fitting is feasible and virtual.

实验表明，GEP用于GPS高程拟合是可行且有效的。

For example, the GEP has a number of key objects, as shown in Figure 1.

例如，GEP拥有几个关键对象，如图1所示。

If the GEP has been customized, you will need to modify the query accordingly.

如果GEP已经被定制，需要相应修改查询。

Tips: What is a plant extract suppliers of quality certification GEP certification?

小贴士：什么是植物提取物优质供应商认证GEP认证？

Traditional Gene Expression Programming (GEP) is bare of discovering recursive functions.

传统基因表达式编程(GEP)无法发现递归函数。

Conclusion GEP and AMP have the therapeutic effect on vertigo induced by machinery rotation.

结论GEP与AMP对机械旋转所致眩晕症均具有一定疗效。

In practice, the improved GEP algorithm is applied to function mining and image registration problems.

在实践方面，将改进的GEP算法运用到函数挖掘和图像配准问题。

Gene Expression Programming (GEP) algorithm solves the complicated formula mining problems with simple coding.

基因表达式编程(GEP)算法采用简单编码方式解决了复杂的公式发现问题。

This paper introduces the basic structure and process of GEP, and expounds the application of GEP in real life.

介绍了GEP的基本结构和过程，阐述了GEP在实际中的应用。

Experiments showed that compared with traditional GEP, the new method is effective and improves the performance.

实验表明和传统GEP相比，新方法是有效的，改善了传统GEP的性能。

It was suggested to look for a new design thought which intercoordinate with environment and nature to improve the GEP.

提出了通过包装设计提高包装的绿色效能，寻找一种与环境、自然相互协调的设计思路；

A new mining method of credit evaluation model based on Gene Expression Programming (GEP), named GEP-CREDIT, was presented.

提出了一种基于基因表达式编程(GEP)的信用评估模型挖掘方法GEP - CREDIT。

A model for the generation expansion planning of power systems based on genetic algorithms (GEP GA) is presented in this paper.

提出一种基于遗传算法的电力系统电源规划模型。

The results of experiments show that GEGEP has better fitting and predicted precision, faster convergence speed than GP and GEP.

实验结果表明，与GEP和GP相比，GEGEP具有更高的拟合和预测精度、更快的收敛速度。

The comparison experiments show that the precision of the function model found by the GEP-IIMA is improved 14.9% than traditional method.

通过比较实验，系统所挖掘的函数模型比传统方法所得模型的精度提高了14.9%。

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%。

This paper proposes a generation method of path coverage test based on Gene Expression Programming(GEP) algorithm, compiler technology and Virtual Machine(VM).

提出一种基于基因表达式编程（GEP）算法、编译器技术、虚拟机技术的路径覆盖测试用例生成方法。

Since this is a service gateway pattern, any type of endpoint can be requested. Here is an example that represents the relationship between the key object types in the gep.

由于这是一个服务网关模式，任何类型的端点都可以被请求。

According 'to the context-free grammar model of GEP, the dissertation point out that Candida's GEP techniques cannot process context-free grammar with multiple none-terminals.

根据基因表达式编程的上下文无关文法模型，指出，基因表达式编程不能处理包含多个非终结符的上下文无关文法。

The applications show that the models set up by the new GEP algorithm are superior to the models set up by GP and simple GEP. The new algorithm has high-blooded forecasting accuracy.

实例测试的结果表明，使用改进的GEP方法得到的模型要优于GP和单纯的GEP方法得到的模型，本方法具有良好的拟合度和预测精度。

On the basis of 422 basic formulae, GEP is adopted to explore the symptom-syndrome relational expression of TCM, completing initially the decision system of formulae symptom-syndrome.

论文以422首基本方为研究样本，采用基因表达式编程方法挖掘中医“症—证”之间的函数关系式，初步完成了通过方剂主治症状对其主治证的判定系统的构建。

The result of computation examples shows clearly that the global optimal solution can reliably be sought out in GEP GA, and at the same time some suboptimal solutions also can be provided.

算例结果表明：该模型既能可靠地获得全局最优解，也能输出一组次优解。

Meanwhile, to solve optimal reduction quickly, GEP-ARRS implements dynamic population creation strategy to reduce gene length of GEP constantly in order to accelerate solution efficiency of GEP.

为了更快地求解出最优约简，GEP - ARRS算法利用动态种群生成策略，不断缩小GEP基因长度，加快GEP算法的求解速度。

Based on the gene expression programming (GEP) proposed by Feriera, from the viewpoint of methodology of automatic programming, this paper investigates the representation of program for program reuse.

在基因表达程序设计(GEP)基础上，从自动程序设计方法学的观点出发，对程序重用的程序表示方法进行了研究。