Gene expression programming (GEP) is a new evolutionary algorithm based on genotype
and phenotype, which is commonly used in network optimisation and prediction. Aiming at …

In this paper, a new Gene Expression Programming (GEP) algorithm is proposed, which
increase “inverted series” and “extract” operator. The new algorithm can effectively increase …

Gene expression programming (GEP) uses simple linear coding to solve complex modeling
problems. However, the performance is limited by the effectiveness of the selected method …

Two novel methods for Time Series Prediction based on GEP (Gene Expression
Programming). The main contributions include:(1) GEP-Sliding Window Prediction Method …

Based on the traditional gene expression algorithm, the paper proposed an improved gene
expression algorithm, adding" inverted string" and" gene extraction" operator. An improved …

In the current paper we present the application of our Gene Expression Programming
Environment in forecasting Euro-United States Dollar exchange rate. Specifically, using the …

An improved gene expression programming (IGEP) is proposed in this paper. It has some
new features: 1) introducing a new individual coding; 2) introducing a new way of creating …

Gene expression programming (GEP) was improved (IGEP) to overcome the shortcomings
that the initial population is generated randomly, there are no standards to measure the …

Gene expression programming (GEP) is capable of solving many prediction, classification,
and optimization problem effectively. It uses a fixed-length chromosome representing a set …

A combination forecasting method based on gene expression programming (GEP) is
introduced in this paper. The main idea of this method is that the nonlinear combination …