[PDF][PDF] Modified reptile search algorithm with multi-hunting coordination strategy for global optimization problems

D Wu, C Wen, H Rao, H Jia, Q Liu… - Math. Biosci. Eng, 2023 - researchgate.net
The reptile search algorithm (RSA) is a bionic algorithm proposed by Abualigah. et al. in
2020. RSA simulates the whole process of crocodiles encircling and catching prey …

Three Chaotic Strategies for Enhancing the Self-Adaptive Harris Hawk Optimization Algorithm for Global Optimization

S Almotairi, E Badr, M Abdul Salam, A Dawood - Mathematics, 2023 - mdpi.com
Harris Hawk Optimization (HHO) is a well-known nature-inspired metaheuristic model
inspired by the distinctive foraging strategy and cooperative behavior of Harris Hawks. As …

Hybrid Chaotic Zebra Optimization Algorithm and Long Short-Term Memory for Cyber Threats Detection

R Amin, G El-Taweel, AF Ali, M Tahoun - IEEE Access, 2024 - ieeexplore.ieee.org
Cyber Threat Detection (CTD) is subject to complicated and rapidly accelerating
developments. Poor accuracy, high learning complexity, limited scalability, and a high false …

IOOA: A multi-strategy fusion improved Osprey Optimization Algorithm for global optimization.

X Wen, X Liu, C Yu, H Gao, J Wang… - Electronic Research …, 2024 - search.ebscohost.com
With the widespread application of metaheuristic algorithms in engineering and scientific
research, finding algorithms with efficient global search capabilities and precise local search …

Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search

Z Chen, D Zhang, C Wang, Q Sha - Electronics, 2023 - mdpi.com
For underwater target exploration, multiple Autonomous Underwater Vehicles (AUVs) have
shown significant advantages over single AUVs. Aiming at Multi-AUV task allocation, which …

Efficient Data Sensing Algorithm with Generalized Cascaded Chaotic Maps for Secure Cognitive Radio in 5G Networks

GK Shekhawat, RP Yadav - SN Computer Science, 2024 - Springer
Sparse code multiple access (SCMA) has emerged as a significant technology to satisfy the
essential criteria for 5G wireless networks, including high data rates, widespread …

Analog circuit diagnosis based on support vector machine with parameter optimization by improved NKCGWO

P Song, L Chen, K Cai, Y Xiong, T Gong - Analog Integrated Circuits and …, 2024 - Springer
Support vector machine (SVM) is a widely used machine learning method in analog circuit
fault diagnosis. However, SVM parameters such as kernel parameters and penalty …

Trajectory Correction of the Rocket for Aerodynamic Load Shedding Based on Deep Neural Network and the Chaotic Evolution Strategy with Covariance Matrix …

G Cheng, Y Hu, W Jing, R An… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article studies the problem of trajectory correction optimization for aerodynamic load
shedding in the rocket's ascending phase considering the wind. Based on the statistical …