Crop breeding is one of the main approaches to increase crop yield and improve crop
quality. However, the breeding process faces challenges such as complex data, difficulties …

Gene expression programming (GEP) is a data driven evolutionary technique that well suits
for correlation mining. Parallel GEPs are proposed to speed up the evolution process using …

In this paper, a novel gene expression programming (GEP) algorithm is introduced for power
system static security assessment. The GEP algorithms as evolutionary algorithms for …

With the growth of electric load and the increase of load density, the distribution network
planning has become more and more complicated. The complexity of distribution network …

Gene Expression Programming (GEP) is a genetic algorithm that evolves linear
chromosomes encoding nonlinear (tree‐like) structures. In the original GEP algorithm, the …

In this paper, a novel gene expression programming (GEP) algorithm is presented for power
system static security assessment. The GEP algorithms as evolutionary algorithms for …

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 …

Gene Expression Programming (GEP), which is suitable for transformer fault diagnosis
Classification, is combined with transformer oil dissolved gas analysis (DGA), and also a …

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 …

(GEP) based algorithm is implemented for power system transient security classification. The
GEP algorithms as evolutionary algorithms for pattern classification have recently received …