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 …

An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …

Marine predator algorithm adopts the policy of optimal encounter rate in biological
interaction between predator and prey, inspired by the Lévy and Brownian motions …

Abstract The Dwarf Mongoose Optimization Algorithm (DMO) is a popular metaheuristic
algorithm utilized to solve real-world problems. However, DMO has limitations such as slow …

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing
on exponential distribution theory to identify global solutions for complex optimization …

Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …

Abstract Snow Ablation Optimizer (SAO) is a cutting-edge nature-inspired meta-heuristic
technique that mimics the sublimation and melting processes of snow in its quest for optimal …