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Quaternion-Based Backtracking Search Optimization Algorithm
(Ieee, 2019-01-01)
Fitness landscape has been one of the main limitations regarding optimization tasks. Although meta-heuristic techniques have achieved outstanding results over a large variety of problems, some issues related to the function ...
Creating classifier ensembles through meta-heuristic algorithms for aerial scene classification
(2020-01-01)
Convolutional Neural Networks (CNN) have been being widely employed to solve the challenging remote sensing task of aerial scene classification. Nevertheless, it is not straightforward to find single CNN models that can ...
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning
(2021-01-01)
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, ...
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization
(2021-01-01)
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming ...
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization
(Ieee, 2020-01-01)
Restricted Boltzmann Machines (RBM) are stochastic neural networks mainly used for image reconstruction and unsupervised feature learning. An enhanced version, the temperature-based RBM (T-RBM), considers a new temperature ...
TRIAD: Whale Optimization Algorithm for 5G-IoT Resource Allocation Decision in Edge Computing
(Ieee, 2021-01-01)
The massive growth in the number of 5G-IoT devices circulating in the world has increased the demand for computing resources in recent years. That way, it is necessary to search for the development of new solutions or ...
Enhancing brain storm optimization through optimum-path forest
(2018-08-20)
Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning
(2021-01-01)
Deep Learning architectures have been extensively studied in the last years, mainly due to their discriminative power in Computer Vision. However, one problem related to such models concerns their number of parameters and ...
Optimal location of FACTS devices for generation costs reduction and stability enhancement
(2014-11-10)
This research proposes a new approach for the problem of FACTS equipment optimal location in a transmission system. SVC and TCSC devices help to increase the controllability of flow over the lines and at the same time ...
A Hybrid Approach using Progressive and Genetic Algorithms for Improvements in Multiple Sequence Alignments
(Scitepress, 2021-01-01)
The multiple sequence alignment is one of the main tasks in bioinformatics. It is used in different important biological analysis, such as function and structure prediction of unknown proteins. There are several approaches ...