This paper discusses the merging of two optimization algorithms, atom search optimization
and particle swarm optimization, to create a hybrid algorithm called hybrid atom search …

Harris hawks optimization (HHO) is a population-based metaheuristic algorithm, inspired by
the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is …

Agriculture is of great importance in all societies, serving as the fundamental basis for
producing food and ensuring the survival of human populations. The process of agricultural …

This paper introduces an Improved Smell Agent Optimization Algorithm (mSAO), a new and
enhanced metaheuristic designed to tackle complex engineering optimization issues by …

In recent years, a range of novel and pseudonovel optimization algorithms has been
proposed for solving engineering problems. Swarm intelligence optimization algorithms …

One metaheuristic algorithm recently introduced is atom search optimization (ASO), inspired
by the physical movement of atoms based on the molecular dynamics in nature. ASO …

The need for evaluation of compressive strength of a concrete is of utmost importance in civil
and structural engineering as one of the factors that determine quality of concrete. In this …

The present research aims to co-relate the plasticity and liquefaction response of soil as well
as its significance in defining liquefaction probability. To accomplish this, metaheuristic …

Swarm salp algorithm is a swarm intelligence optimization algorithm enlightened by the
movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) …

Harris hawks optimization (HHO) has been accepted as one of the well-established swarm-
based methods in the community of optimization and machine learning that primarily works …