Enhanced generalized normal distribution optimizer with Gaussian distribution repair method and cauchy reverse learning for features selection [PDF]
Scientific ReportsThe presence of noisy, redundant, and irrelevant features in high-dimensional datasets significantly degrades the performance of classification models. Feature selection is a critical pre-processing step to mitigate this issue by identifying an optimal ...
Mohamed Ghetas +2 more
doaj +8 more sources
Optimal Reactive Power Compensation via D-STATCOMs in Electrical Distribution Systems by Applying the Generalized Normal Distribution Optimizer [PDF]
Algorithms, 2023 This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master–slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be
Laura Patricia García-Pineda +1 more
doaj +9 more sources
Optimal Allocation and Sizing of PV Generation Units in Distribution Networks via the Generalized Normal Distribution Optimization Approach [PDF]
Computers, 2022 The problem of optimal siting and dimensioning of photovoltaic (PV) generators in medium-voltage distribution networks is addressed in this research from the perspective of combinatorial optimization.
Oscar Danilo Montoya +2 more
doaj +7 more sources
Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer [PDF]
ComputationThis article proposes an optimization methodology to address the joint placement as well as the capacity design of PV units and D-STATCOMs within unbalanced three-phase distribution systems. The proposed model adopts a mixed-integer nonlinear programming
Laura Sofía Avellaneda-Gómez +3 more
doaj +5 more sources
Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer [PDF]
Results in EngineeringThis research addresses the parametric estimation problem in three-phase induction motors by applying a recently developed metaheuristic method known as the generalized normal distribution optimizer (GNDO).
Oscar Danilo Montoya +2 more
doaj +5 more sources
Optimizing brushless direct current motor design: An application of the multi-objective generalized normal distribution optimization [PDF]
HeliyonIn this study, we tackle the challenge of optimizing the design of a Brushless Direct Current (BLDC) motor. Utilizing an established analytical model, we introduced the Multi-Objective Generalized Normal Distribution Optimization (MOGNDO) method, a ...
Sundaram B. Pandya +5 more
doaj +6 more sources
Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm [PDF]
Algorithms, 2022 This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with the inclusion of solar photovoltaic (PV) generators while considering a planning period of 20 years. This problem is formulated through a mixed-integer
Oscar Danilo Montoya +2 more
doaj +3 more sources
Applying the Crow Search Algorithm for the Optimal Integration of PV Generation Units in DC Networks [PDF]
Mathematics, 2023 This paper presents an efficient master–slave methodology to solve the problem of integrating photovoltaic (PV) generators into DC grids for a planning period of 20 years.
Luis Fernando Grisales-Noreña +3 more
doaj +3 more sources
An Improved Dandelion Optimizer Algorithm for Spam Detection: Next-Generation Email Filtering System [PDF]
Computers, 2023 Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non ...
Mohammad Tubishat +3 more
doaj +3 more sources
Optimal Location and Sizing of PV Generation Units in Electrical Networks to Reduce the Total Annual Operating Costs: An Application of the Crow Search Algorithm [PDF]
Mathematics, 2022 This study presents a master–slave methodology to solve the problem of optimally locating and sizing photovoltaic (PV) generation units in electrical networks.
Brandon Cortés-Caicedo +4 more
doaj +3 more sources