An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells

A Singh, A Sharma, S Rajput, A Bose, X Hu - Electronics, 2022 - mdpi.com
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Teaching–learning-based optimization algorithm applied in electronic engineering: A survey

KY Gómez Díaz, SE De León Aldaco… - Electronics, 2022 - mdpi.com
This paper presents a survey of the articles published in the period 2013–2021 related to the
application of the teaching–learning-based optimization (TLBO), which reproduces the …

Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis

M Alweshah, S Alkhalaileh, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
The importance of medical data and the crucial nature of the decisions that are based on
such data, as well as the large increase in its volume, has encouraged researchers to …

Machine learning approach for short-term load forecasting using deep neural network

MA Alotaibi - Energies, 2022 - mdpi.com
Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems

W Luo, X Yu - Knowledge-Based Systems, 2022 - Elsevier
One of the crucial tasks of social development is carbon neutrality, which is mainly due to the
emission of greenhouse gases. However, thermal power, which produces plenty of harmful …

Intelligent approach-based maximum power point tracking for renewable energy system: a review

K Fatima, AF Minai, H Malik - Intelligent Data Analytics for Power and …, 2022 - Springer
Speedy exaggeration of CO2 emissions stimulates global warming. In order to slow down
global warming, ongoing hydrocarbon deposit systems need to be put back by renewable …

Robust Control of GTIs under wide grid impedance ranges: An approach combining metaheuristics and LMIs

LC Borin, CRD Osório, GG Koch, RCLF Oliveira… - Control Engineering …, 2022 - Elsevier
This paper provides a new design procedure for robust state feedback current controllers
suitable for grid-tied inverters under wide grid impedance ranges. The proposed procedure …

Exploring parameter and hyper-parameter spaces of neuroscience models on high performance computers with learning to learn

A Yegenoglu, A Subramoney, T Hater… - Frontiers in …, 2022 - frontiersin.org
Neuroscience models commonly have a high number of degrees of freedom and only
specific regions within the parameter space are able to produce dynamics of interest. This …

Differential Evolution Applied to a Multilevel Inverter—A Case Study

O Sánchez Vargas, SE De León Aldaco… - Applied Sciences, 2022 - mdpi.com
This work aims to obtain the switching angles to reduce the total harmonic distortion (THD)
and compare the different sets of angles obtained by modifying the modular index (Mi) in a …

A new discrete mycorrhiza optimization nature-inspired algorithm

H Carreon-Ortiz, F Valdez, O Castillo - Axioms, 2022 - mdpi.com
This paper presents the discrete version of the Mycorrhiza Tree Optimization Algorithm
(MTOA), using the Lotka–Volterra Discrete Equation System (LVDES) formed by the …