In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …

Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

Accurate design of the power system stabilizer (PSS) models is a crucial issue due to their
significant impact on the stability of power system operation. However, identifying the …

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

In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …

Many problems that are encountered in real-life applications consist of two or three
conflicting objectives and many decision variables. Multi-guide particle swarm optimization …

In many optimization problems, the main goal is to improve a single performance index in
which a minimum or maximum value of this index fully reflects the quality of the response …

Abstract Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm
inspired by the social intelligent behavior of crows for hiding food. It has been widely used to …

Combined heat and power economic dispatch (CHPED) is a challenging important
optimization task in the economic operation of power systems that aims to minimize the …

This paper presents a chaos-opposition-enhanced slime mould algorithm (CO-SMA) to
minimize energy (COE) cost for the wind turbines on high-altitude sites. The COE model is …