Abstract The Mountain Gazelle Optimizer (MGO), a novel meta-heuristic algorithm inspired
by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this …

Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that
coincides with the process of finding the best reproduction site for dandelion seeds …

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 …

In recent years, several metaheuristic algorithms have been introduced in engineering and
scientific fields to address real-life optimization problems. In this study, a novel nature …

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

Disease risk prediction is a rising challenge in the medical domain. Researchers have
widely used machine learning algorithms to solve this challenge. The k-nearest neighbour …

This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …

This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …