A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …

Chaotic maps have the characteristics of ergodicity and non-repeatability. Owing to these
properties, they provide fast convergence by effectively scanning the search space in a …

The search for food stimulated by hunger is a common phenomenon in the animal world.
Mimicking the concept, recently, an optimization algorithm Hunger Games Search (HGS) …

The hunger games search (HGS) algorithm is designed to tackle optimization problems,
however, issues such as local minimum stagnation and immature convergence hinder its …

Grasshopper optimization algorithm (GOA) is a newly proposed meta-heuristic algorithm that
simulates the biological habits of grasshopper seeking for food sources. Nonetheless, some …

Recently, many population-dependent methods have been proposed. Despite their
acceptance in many applications, we are still exploring suggested methods to solve actual …

Nature-inspired optimization algorithms, notably evolutionary algorithms (EAs), have been
widely used to solve various scientific and engineering problems because of to their …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …