This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …

Abstract Crow Search Algorithm (CSA) is a swarm-based single-objective optimizer
proposed in recent years, which tried to inspire the behavior of crows that hide foods in …

Motivated by the hunting strategies of cheetahs, this paper proposes a nature-inspired
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …

This paper solves the drawbacks of traditional intelligent optimization algorithms relying on 0
and has good results on CEC 2017 and benchmark functions, which effectively improve the …

This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

Today, finding a viable solution for any real world problem focusing on combinatorial of
problems is a crucial task. However, using optimisation techniques, a viable best solution for …

The scientific field of optimization has witnessed an increasing trend in the development of
metaheuristic algorithms within the current decade. The vast majority of the proposed …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

In this paper, to keep the researchers interested in nature-inspired algorithms and
optimization problems, a comprehensive survey of the group search optimizer (GSO) …