[HTML][HTML] Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
[HTML][HTML] Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …
19 global pandemic has led to a significant escalation in the number of online transactions …
[HTML][HTML] Novel improved salp swarm algorithm: An application for feature selection
We live in a period when smart devices gather a large amount of data from a variety of
sensors and it is often the case that decisions are taken based on them in a more or less …
sensors and it is often the case that decisions are taken based on them in a more or less …
[HTML][HTML] Metaheuristic-based hyperparameter tuning for recurrent deep learning: application to the prediction of solar energy generation
As solar energy generation has become more and more important for the economies of
numerous countries in the last couple of decades, it is highly important to build accurate …
numerous countries in the last couple of decades, it is highly important to build accurate …
[HTML][HTML] Novel hybrid firefly algorithm: An application to enhance XGBoost tuning for intrusion detection classification
The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
Optical microscope algorithm: A new metaheuristic inspired by microscope magnification for solving engineering optimization problems
A novel optimization algorithm called the optical microscope algorithm (OMA) is developed
and applied in this study. Drawing inspiration from the magnification capabilities of an …
and applied in this study. Drawing inspiration from the magnification capabilities of an …
[HTML][HTML] Multi-swarm algorithm for extreme learning machine optimization
There are many machine learning approaches available and commonly used today,
however, the extreme learning machine is appraised as one of the fastest and, additionally …
however, the extreme learning machine is appraised as one of the fastest and, additionally …
An improved fault-tolerant cultural-PSO with probability for multi-AGV path planning
S Lin, A Liu, J Wang, X Kong - Expert Systems with Applications, 2024 - Elsevier
This paper presents a hybrid evolutionary algorithm, cultural-particle swarm optimization (C-
PSO), which is inspired by the cultural algorithm and the particle swarm optimization …
PSO), which is inspired by the cultural algorithm and the particle swarm optimization …
The adaboost approach tuned by firefly metaheuristics for fraud detection
The use of powerful classifiers is broad and the problem of fraud detection tends to benefit
from similar solutions as well. The problem in the digital age cannot be disregarded as the …
from similar solutions as well. The problem in the digital age cannot be disregarded as the …
[HTML][HTML] Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …
and challenging tasks in machine learning. To achieve satisfying performance, every …