The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …

As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …

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' …

Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …

Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
promise. In this context, we provide a review on swarm intelligence algorithms that play an …

Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …

This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …