Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …

Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …

The use of metaheuristics is one of the most encouraging methodologies for taking care of
real-life problems. Bald eagle search (BES) algorithm is the latest swarm-intelligence …

The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …

Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics
the intelligent traveler behavior of Remora. However, the performance of ROA is barely …

Wild horse optimizer (WHO) is a recently proposed metaheuristic algorithm that simulates
the social behavior of wild horses in nature. Although WHO shows competitive performance …

The Aquila optimizer (AO) is a recently developed swarm algorithm that simulates the
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …

Abstract Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that
simulates Archimedes principles. AOA has been used in a variety of real-world applications …