Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …

Abstract Machine learning and data mining rely on feature selection to reduce the dimension
of data and increase the performance of algorithms. As a result of such a large search …

Feature selection, an optimization problem, becomes an important pre-process tool in data
mining, which simultaneously aims at minimizing feature-size and maximizing model …

Whale optimization algorithm was developed based on the prey-catching characteristics of
the humpback whales. Due to its simple structure and efficiency, the researchers employed …

Water contamination due to the artificial dyes from domestic and industrial wastewater is one
of the most crucial environmental issues and problems that the use of an effective adsorbent …

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 …

In classification, regression, and other data mining applications, feature selection (FS) is an
important pre-process step which helps avoid advert effect of noisy, misleading, and …

Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the
hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) …

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