In the last few decades, metaheuristic algorithms that use the laws of nature have been used
dramatically in numerous and complex optimization problems. The artificial hummingbird …

Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Abstract This chapter introduces Multi-Objective Artificial Hummingbird Algorithm (MOAHA),
a multi-objective variation of the newly established Artificial Hummingbird Algorithm (AHA) …

The Harris Hawks Optimization (HHO) is a recent meta-heuristic algorithm developed by
Hideri in 2019. HHO algorithm has been widely utilized to solve many optimization problems …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

Metaheuristic algorithms are widely used in various fields of optimization engineering.
These algorithms have become popular because of their ability to explore and exploit …

The artificial hummingbird algorithm (AHA) has been applied in various fields of science and
provided promising solutions. Although the algorithm has demonstrated merits in the …

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 …

Recently, the numerical optimization field has attracted the research community to propose
and develop various metaheuristic optimization algorithms. This paper presents a new …