This article proposes a new hybrid swarm intelligence optimization algorithm called
monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named …

A search method that finds a minimal subset of features (over a feature space) that yields
maximum classification accuracy is proposed. This method employs rough set theory (RST) …

Plagiarism is a common problem in the modern age. With the advance of Internet, it is more
and more convenient to access other people's writings or publications. When someone uses …

Mobile roadside units have crucial role in ensuring efficient communication, computing, and
caching services in internet of vehicles (IoVs) for vehicles traversing urban landscapes. The …

In this chapter, we suggest a hybrid binary algorithm, namely, binary particle swarm
optimization (PSO) with flower pollination algorithm (FPA), and call it by BPSOFPA. In …

Metaheuristic search methods have proven to be essential tools for tackling complex
optimization challenges, but their full potential is often constrained by conventional …

This article presents the Optimised Stream clustering algorithm (OpStream), a novel
approach to cluster dynamic data streams. The proposed system displays desirable …

In this chapter, a new hybrid binary version of the bat algorithm (BA) is suggested to solve
feature selection problems. In particular, BA is integrated with an enhanced version of the …

This study aims to develop a segmentation technique that can be used to identify objects in
an image. The concept used is to imitate the human concept of recognizing an object based …

The k-means problem is one of the most popular models in cluster analysis that minimizes
the sum of the squared distances from clustered objects to the sought cluster centers …