Hybrid approaches to optimization and machine learning methods: a systematic literature review

BF Azevedo, AMAC Rocha, AI Pereira - Machine Learning, 2024 - Springer
Notably, real problems are increasingly complex and require sophisticated models and
algorithms capable of quickly dealing with large data sets and finding optimal solutions …

[HTML][HTML] An optimized back propagation neural network for automated evaluation of health condition using sensor data

V Mandala, T Senthilnathan, S Suganyadevi… - Measurement …, 2023 - Elsevier
Ships and other large equipment must meet strict standards for equipment integrity and
operational dependability in order to perform missions. To meet this demand, one of the …

A hierarchical deep learning-based intrusion detection architecture for clustered internet of things

R Elsayed, R Hamada, M Hammoudeh… - Journal of Sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) system's ever-expanding attack surface calls for a new intrusion
detection system (IDS). These systems may include thousands of wireless devices that need …

A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges

B Chen, L Cao, C Chen, Y Chen, Y Yue - Artificial Intelligence Review, 2024 - Springer
The application of optimization theory and the algorithms that are generated from it has
increased along with science and technology's continued advancement. Numerous issues …

Optimizing a multi-layer perceptron based on an improved gray wolf algorithm to identify plant diseases

C Bi, Q Tian, H Chen, X Meng, H Wang, W Liu, J Jiang - Mathematics, 2023 - mdpi.com
Metaheuristic optimization algorithms play a crucial role in optimization problems. However,
the traditional identification methods have the following problems:(1) difficulties in nonlinear …

Fish-inspired robotic algorithm: Mimicking behaviour and communication of schooling fish

J Connor, M Joordens… - Bioinspiration & …, 2023 - iopscience.iop.org
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of
fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA) …

Path planning of multi-objective underwater robot based on improved sparrow search algorithm in complex marine environment

B Li, J Mao, S Yin, L Fu, Y Wang - Journal of Marine Science and …, 2022 - mdpi.com
Autonomous underwater vehicle (AUV) path planning in complex marine environments
meets many chanllenges, such as many influencing factors, complex models and the …

Inverse identification of in-situ curing shrinkage using a method combining 3D digital image correlation and finite-element simulation

H Yang, A Wang, H Xia, S Wang, J Liu, X Ao, Y Zhang… - Measurement, 2023 - Elsevier
Curing shrinkage of adhesives in the bonding process usually leads to deformation and
residual stresses. The measurement of curing shrinkage is valuable in providing …

SPGD: search party gradient descent algorithm, a simple gradient-based parallel algorithm for bound-constrained optimization

AS Syed Shahul Hameed, N Rajagopalan - Mathematics, 2022 - mdpi.com
Nature-inspired metaheuristic algorithms remain a strong trend in optimization. Human-
inspired optimization algorithms should be more intuitive and relatable. This paper proposes …

Unmanned aerial vehicle 3D path planning based on an improved artificial fish swarm algorithm

T Zhang, L Yu, S Li, F Wu, Q Song, X Zhang - Drones, 2023 - mdpi.com
A well-organized path can assist unmanned aerial vehicles (UAVs) in performing tasks
efficiently. The artificial fish swarm algorithm (AFSA) is a widely used intelligent optimization …