[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 …

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 …

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation

A Qi, D Zhao, F Yu, AA Heidari, Z Wu, Z Cai… - Computers in biology …, 2022 - Elsevier
This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image
segmentation technology. We present a new multilevel image segmentation method based …

Harris hawks optimization algorithm: variants and applications

M Shehab, I Mashal, Z Momani, MKY Shambour… - … Methods in Engineering, 2022 - Springer
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 …

Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems

Y Zhang, A Chi, S Mirjalili - Knowledge-Based Systems, 2021 - Elsevier
Jaya algorithm (JAYA) is a new metaheuristic algorithm, which has a very simple structure
and only requires population size and terminal condition for optimization. Given the two …

A novel improved whale optimization algorithm to solve numerical optimization and real-world applications

S Chakraborty, S Sharma, AK Saha, A Saha - Artificial Intelligence Review, 2022 - Springer
Whale optimization algorithm (WOA) has been developed based on the hunting behavior of
humpback whales. Though it has a considerable convergence speed, WOA suffers from …

Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm

İ Çetinbaş, B Tamyürek, M Demirtaş - Energy Conversion and Management, 2021 - Elsevier
In this study, the sizing optimization and design of an autonomous AC microgrid is
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …

Adaptive opposition slime mould algorithm

MK Naik, R Panda, A Abraham - Soft computing, 2021 - Springer
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 …

A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy

Q Liu, N Li, H Jia, Q Qi, L Abualigah - Artificial Intelligence Review, 2023 - Springer
Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

Quantum marine predators algorithm for addressing multilevel image segmentation

M Abd Elaziz, D Mohammadi, D Oliva… - Applied Soft Computing, 2021 - Elsevier
This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …