[HTML][HTML] 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 …
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 …
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 …
segmentation technology. We present a new multilevel image segmentation method based …
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 …
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 …
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
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 …
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
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 …
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …
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 …
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 …
However, the exhaustive search methods are costly in determining optimal thresholds and …
Quantum marine predators algorithm for addressing multilevel image segmentation
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 …
handle the multilevel image segmentation problem. The main aims of using quantum theory …