Image segmentation is a key stage in image processing because it simplifies the
representation of the image and facilitates subsequent analysis. The multi-level thresholding …

Identifying a small subset of informative genes from a gene expression dataset is an
important process for sample classification in the fields of bioinformatics and machine …

The design of an optimal framework for the prediction of cancer from high-dimensional and
imbalanced microarray data is a challenging job in the fields of bioinformatics and machine …

Cuckoo search (CS) has been proven to be one of the most efficient metaheuristic
algorithms in solving global optimization problems. However, it suffers from a slow …

The stochastic global optimization (SGO) methods like particle swarm optimization (PSO),
genetic algorithm (GA), and cuckoo search (CS) have been widely used in a variety of …

Various practical fields rely on optimization mechanisms to achieve high performance. To
solve optimization problems, optimization algorithms are utilized in systems in various …

This paper proposes an improved version of the hunger games search algorithm (HGS)
based on the opposition-based learning (OBL) and evolutionary population dynamics (EPD) …

Diving deep into nature makes us understand it better. Nature inspires researchers world-
wide to design technology based upon natural phenomenon. There are various birds such …