This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

The stock market has performed one of the most important functions in a laissez-faire
economic system by gathering people, companies, and flows of money for several centuries …

Plant disease, especially crop plants, is a major threat to global food security since many
diseases directly affect the quality of the fruits, grains, and so on, leading to a decrease in …

The rapid expansion of information science has caused the issue of “the curse of
dimensionality”, which will negatively affect the performance of the machine learning model …

In the recent decades, researchers have introduced an abundance of feature selection
methods many of which are studied and analyzed over the high dimensional datasets …

In this paper, we proposed a novel spam detection method that focused on reducing the
false positive error of mislabeling nonspam as spam. First, we used the wrapper-based …

Diabetes leads to health problems for hundreds of millions of people globally every year.
Available medical records of patients quantify symptoms, body features, and clinical …

Harris hawk optimization (HHO) is one of the recently proposed metaheuristic algorithms
that has proven to be work more effectively in several challenging optimization tasks …

Classification on high-dimensional data with thousands to tens of thousands of dimensions
is a challenging task due to the high dimensionality and the quality of the feature set. The …

Features extracted from the electromyography (EMG) signal normally consist of irrelevant
and redundant features. Conventionally, feature selection is an effective way to evaluate the …