The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

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 recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding
optimum solution in search space. However, it easily get trapped into local search space for …

The current concern about the ever-escalating demand for energy, exhaustive nature of
fossil fuels, global warming accompanied by climate change has necessitated the …

Meta-heuristic algorithms have turned out to be good methods to address optimization
problems with complicated constraints, and those algorithms have been widely applied to …

Electronic mail is a medium of communication used frequently for conveying a variety of
information. It has become an integral part of people's lives owing to its ease of access and …

Clustering is a promising technique for optimizing energy consumption in sensor-enabled
Internet of Things (IoT) networks. Uneven distribution of cluster heads (CHs) across the …

The rapid advancement in Wireless Sensor Network (WSN) technology has enabled smart
environments to provide ubiquitous real-time applications in various fields such as industry …

A new hybrid multi-objective evolutionary algorithm is developed and deployed in the
present work for the optimal allocation of Electric Vehicle (EV) charging stations. The …