On the benefits of using metaheuristics in the hyperparameter tuning of deep learning models for energy load forecasting

N Bacanin, C Stoean, M Zivkovic, M Rakic… - Energies, 2023 - mdpi.com
An effective energy oversight represents a major concern throughout the world, and the
problem has become even more stringent recently. The prediction of energy load and …

A comprehensive review of bat inspired algorithm: variants, applications, and hybridization

M Shehab, MA Abu-Hashem, MKY Shambour… - … Methods in Engineering, 2023 - Springer
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

[HTML][HTML] Hybrid CNN and XGBoost model tuned by modified arithmetic optimization algorithm for COVID-19 early diagnostics from X-ray images

M Zivkovic, N Bacanin, M Antonijevic, B Nikolic… - Electronics, 2022 - mdpi.com
Develo** countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …

[HTML][HTML] Tuning machine learning models using a group search firefly algorithm for credit card fraud detection

D Jovanovic, M Antonijevic, M Stankovic, M Zivkovic… - Mathematics, 2022 - mdpi.com
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 …

Modified firefly algorithm for workflow scheduling in cloud-edge environment

N Bacanin, M Zivkovic, T Bezdan… - Neural computing and …, 2022 - Springer
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

Metaheuristic-based hyperparameter tuning for recurrent deep learning: application to the prediction of solar energy generation

C Stoean, M Zivkovic, A Bozovic, N Bacanin… - Axioms, 2023 - mdpi.com
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 …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

The explainable potential of coupling metaheuristics-optimized-xgboost and shap in revealing vocs' environmental fate

L Jovanovic, G Jovanovic, M Perisic, F Alimpic… - Atmosphere, 2023 - mdpi.com
In this paper, we explore the computational capabilities of advanced modeling tools to
reveal the factors that shape the observed benzene levels and behavior under different …

[HTML][HTML] Hybrid fruit-fly optimization algorithm with k-means for text document clustering

T Bezdan, C Stoean, AA Naamany, N Bacanin… - Mathematics, 2021 - mdpi.com
The fast-growing Internet results in massive amounts of text data. Due to the large volume of
the unstructured format of text data, extracting relevant information and its analysis becomes …

Novel improved salp swarm algorithm: An application for feature selection

M Zivkovic, C Stoean, A Chhabra, N Budimirovic… - Sensors, 2022 - mdpi.com
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 …