Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
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 …
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
Harris hawks optimization algorithm: variants and applications
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 …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction
S Song, P Wang, AA Heidari, X Zhao, H Chen - Engineering Applications of …, 2022 - Elsevier
In this paper, an adaptive Harris hawk optimization with persistent trigonometric (sine–
cosine)-differences (ADHHO) is proposed for parameter identification of Photovoltaic (PV) …
cosine)-differences (ADHHO) is proposed for parameter identification of Photovoltaic (PV) …
Convolutional neural network in medical image analysis: a review
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 …
images. In today's world of deep learning (DL) along with advances in computer vision, the …
Adaptive opposition slime mould algorithm
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 …
because it effectively uses exploration and exploitation to reach an optimal solution or near …
Harris hawk optimization: a survey onvariants and applications
BK Tripathy, PK Reddy Maddikunta… - Computational …, 2022 - Wiley Online Library
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 …
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …
A novel interdependence based multilevel thresholding technique using adaptive equilibrium optimizer
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 …
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …
[HTML][HTML] Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm
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 …
accuracy and computation time. Two-dimensional histogram-based techniques are better in …
ECH3OA: an enhanced chimp-harris hawks optimization algorithm for copyright protection in Color images using watermarking techniques
This paper proposes a hybrid Enhanced Chimp-Harris Hawks Optimization Algorithm (ECH
3 OA) that combines both enhanced Chimp Optimization algorithm (ChOA) and Harris …
3 OA) that combines both enhanced Chimp Optimization algorithm (ChOA) and Harris …