Harris hawks optimization: a comprehensive review of recent variants and applications

HM Alabool, D Alarabiat, L Abualigah… - Neural computing and …, 2021 - Springer
Harris hawks optimizer (HHO) has received widespread attention among researchers in
terms of the performance, quality of results, and its acceptable convergence in dealing with …

[HTML][HTML] Recent advances in harris hawks optimization: A comparative study and applications

AG Hussien, L Abualigah, R Abu Zitar, FA Hashim… - Electronics, 2022 - mdpi.com
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

Improved harris hawks optimization using elite opposition-based learning and novel search mechanism for feature selection

R Sihwail, K Omar, KAZ Ariffin, M Tubishat - Ieee Access, 2020 - ieeexplore.ieee.org
The rapid increase in data volume and features dimensionality have a negative influence on
machine learning and many other fields, such as decreasing classification accuracy and …

Efficient data reconstruction: The bottleneck of large-scale application of DNA storage

B Cao, Y Zheng, Q Shao, Z Liu, L **e, Y Zhao, B Wang… - Cell Reports, 2024 - cell.com
Over the past decade, the rapid development of DNA synthesis and sequencing
technologies has enabled preliminary use of DNA molecules for digital data storage …

An improved Chaotic Harris Hawks Optimizer for solving numerical and engineering optimization problems

D Dhawale, VK Kamboj, P Anand - Engineering with Computers, 2023 - Springer
Abstract Harris Hawk's Optimizer (HHO) is a recently developed meta-heuristics search
algorithm with inherent capability to explore global minima and maxima. However, the local …

[HTML][HTML] Multiple explainable approaches to predict the risk of stroke using artificial intelligence

K Chadaga, N Sampathila, S Prabhu, R Chadaga - Information, 2023 - mdpi.com
Stroke occurs when a brain's blood artery ruptures or the brain's blood supply is interrupted.
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …

Evolutionary computation in bioinformatics: A survey

Y Zhang, L Cheng, G Chen, D Alghazzawi - Neurocomputing, 2024 - Elsevier
Bioinformatics is a subject that studies life phenomena by using mathematical and
information science theories and techniques. Its main tasks, such as DNA sequence …

Designing uncorrelated address constrain for DNA storage by DMVO algorithm

B Cao, X Ii, X Zhang, B Wang… - … /ACM transactions on …, 2020 - ieeexplore.ieee.org
At present, huge amounts of data are being produced every second, a situation that will
gradually overwhelm current storage technology. DNA is a storage medium that features …

GCNSA: DNA storage encoding with a graph convolutional network and self-attention

B Cao, B Wang, Q Zhang - Iscience, 2023 - cell.com
DNA Encoding, as a key step in DNA storage, plays an important role in reading and writing
accuracy and the storage error rate. However, currently, the encoding efficiency is not high …

Design of constraint coding sets for archive DNA storage

Q Yin, Y Zheng, B Wang… - IEEE/ACM transactions on …, 2021 - ieeexplore.ieee.org
With the advent of the era of massive data, the increase of storage demand has far
exceeded current storage capacity. DNA molecules provide a reliable solution for big data …