This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is
considered as a recent metaheuristic. BHA has been proven to be very efficient in different …

In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

The processes of retrieving useful information from a dataset are an important data mining
technique that is commonly applied, known as Data Clustering. Recently, nature-inspired …

The retrieval of important information from a dataset requires applying a special data mining
technique known as data clustering (DC). DC classifies similar objects into a groups of …

The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new
training algorithm for feedforward neural networks (FNNs), since most traditional and …

Subwavelength planar structured interfaces, also known as metasurfaces, are ultra-thin
optical elements modulating the amplitude, phase, and polarization of incident light using …

The main objective of this paper is to present a new 2-stage hybrid optimization algorithm
based scheme named PSO-BHA for image enhancement. A parameterized mapping …

This paper presents a multi-resolution method for gray-level image enhancement using
Particle Swarm Optimization (PSO). The enhancement optimization procedure is a non …

In this study, a new hybrid approach is suggested for medical image enhancement. The
main idea is based on the hybrid of the guided filter and chaotic inertia weight black hole …

This study is rooted in the direct correlation between the performance of multivariate
techniques and the selection of parameters. The complexity and time-consuming nature of …