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

This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

In this paper, an adaptive Harris hawk optimization with persistent trigonometric (sine–
cosine)-differences (ADHHO) is proposed for parameter identification of Photovoltaic (PV) …

Recently, the slime mould algorithm (SMA) has become popular in function optimization,
because it effectively uses exploration and exploitation to reach an optimal solution or near …

Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

The multilevel thresholding is one important operation in computer vision, which is a subfield
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …

The existing methodologies used for multilevel thresholding are not efficient in terms of both
accuracy and computation time. Two-dimensional histogram-based techniques are better in …

This paper proposes a hybrid Enhanced Chimp-Harris Hawks Optimization Algorithm (ECH
3 OA) that combines both enhanced Chimp Optimization algorithm (ChOA) and Harris …