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 …

Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …

Breast cancer is one of the most common reasons for the premature death of women
worldwide. However, early detection and diagnosis of the same can save many lives …

The significant growth of modern technology and smart systems has left a massive
production of big data. Not only are the dimensional problems that face the big data, but …

The recent advancements in science, engineering, and technology have facilitated huge
generation of datasets. These huge datasets contain noisy, redundant, and irrelevant …

The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve
continuous mechanical engineering design problems with a considerable balance of the …

Feature selection is a process to reduce the dimension of a dataset by removing redundant
features, and to use the optimal subset of features for machine learning or data mining …

This paper proposed a Multi-Criteria Decision-Making (MCDM) modeling to deal with multi-
target regression problem. This model offered a feature ranking approach for multi-target …

Recently, the slime mould algorithm (SMA) has become popular in function optimization,
because it effectively uses exploration and exploitation to reach an optimal solution or near …

Feature selection (FS) is considered as one of the core concepts in the areas of machine
learning and data mining which immensely impacts the performance of classification model …