The grasshopper optimization algorithm is one of the dominant modern meta-heuristic
optimization algorithms. It has been successfully applied to various optimization problems in …

Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the …

Cancer is one of the top causes of death globally. Recently, microarray gene expression
data has been used to aid in cancer's effective and early detection. The use of DNA …

As a recent meta-heuristic algorithm, the uniqueness of the grasshopper optimization
algorithm (GOA) is to imitate the biological features of grasshoppers for single-objective …

A novel design method is presented to determine optimum proportional-integral-derivative
(PID) controller parameters of an automatic voltage regulator (AVR) system utilizing the …

Grasshopper optimization algorithm (GOA) is a newly proposed meta-heuristic algorithm that
simulates the biological habits of grasshopper seeking for food sources. Nonetheless, some …

Gene microarray technology can detect many gene expressions simultaneously, which is
essential for disease diagnosis. However, microarray data are usually characterized by …

In today's increasingly competitive market, estimating the risk involved in a loan application
is one of the most crucial challenges for banks' survival and profitability. The banks receive …