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

Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …

This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

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 …

Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …

Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …

Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …

Abstract In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic
algorithm inspired by advanced physics principles regarding stability and different modes of …

Stochastic optimization methods have gained significant prominence as effective techniques
in contemporary research, addressing complex optimization challenges efficiently. This …

Introduction: Power generated by the wind is a viable renewable energy option. Forecasting
wind power generation is particularly important for easing supply and demand imbalances …