Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

Optimization algorithms are one of the effective stochastic methods in solving optimization
problems. In this paper, a new swarm-based algorithm called Northern Goshawk …

Carbon dioxide is one of the most important pollutants in urban areas. Since the relationship
between the factors of road transport and CO 2 emission is often complex, using methods …

In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil
Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The …

Energy-saving is a global challenge and one of the hot research topics of this decade. The
need for sustainable technologies and solutions for energy-saving dramatically increased in …

A novel bio‐inspired algorithm, namely, Dingo Optimization Algorithm (DOA), is proposed for
solving optimization problems. The DOA mimics the social behavior of the Australian dingo …

We live in a period when smart devices gather a large amount of data from a variety of
sensors and it is often the case that decisions are taken based on them in a more or less …

This article presents a comparative analysis of the latest swarm-based optimization
approaches under partial shading conditions (PSCs) for maximum power point tracking …

The microgrid connected with the battery energy storage system is a promising solution to
address carbon emission problems and achieve the global decarbonization goal by 2050 …