This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

Features Selection (FS) plays an important role in enhancing the performance of machine
learning techniques in terms of accuracy and response time. As FS is known to be an NP …

Breast cancer (BC) remains the most dominant cancer among women worldwide. Numerous
BC gene expression microarray-based studies have been employed in cancer classification …

Multi-threshold image segmentation (MIS) is now a well known image segmentation
technique, and many researchers have applied intelligent algorithms to it, but these methods …

This paper presents an effective metaheuristic algorithm called teaching learning-based
optimization which is widely applied to solve the various real-world optimization problems …

Smart city has come a long way since the development of emerging technology like
Information and communications technology (ICT), Internet of Things (IoT), Machine …

Solving constrained engineering optimization problems is a highly significant issue, and
many different approaches have been proposed in this regard. In this article, a modified …

To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to
develop a novel Harris hawks optimization with multi-strategies-based support vector …

Uniaxial compressive strength (UCS) is one of the most important parameters to
characterize the rock mass in geotechnical engineering design and construction. In this …