Results 91 to 100 of about 922 (173)
To address the problems of low classification accuracy, redundancy of feature subsets, and performance susceptibility to parameters in wrapper-based feature selection in traditional Support Vector Machine (SVM), an improved Slime Mould Algorithm (ISMA ...
Yihui Qiu, Ruoyu Li, Xinqiang Zhang
doaj +1 more source
A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm
The economic load dispatch problem of microgrid strives to optimize the allocation of total power demand among generating units under specific constraints.
Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li
doaj +1 more source
Improved Reptile Search Optimization Algorithm using Chaotic map and Simulated Annealing for Feature Selection in Medical Filed [PDF]
The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental for selecting the most relevant features and reducing redundant ...
Alomari, Osama Ahmad +5 more
core +1 more source
Efficient cluster center optimization: A novel hybrid metaheuristic [PDF]
Metaheuristics have proved highly effective in addressing optimization challenges. Various algorithms address the clustering problem to find optimal centers for the clusters.
Saeideh Barkhordari Firozabadi +3 more
doaj +1 more source
Global optimization spans various fields, offering solutions for complex, multi-variable problems that are often highly nonlinear and high-dimensional. Load–frequency control is essential for maintaining stability in an islanded microgrid.
Ibrahim Musa Conteh +3 more
doaj +1 more source
Optimal control of automatic voltage regulator system using hybrid PSO-GWO algorithm-based PID controller [PDF]
In this paper, a new hybrid optimization algorithm known as particle swarm optimization and grey wolf optimizer (PSO-GWO) based proportional integral derivative (PID) controller is suggested for automatic voltage regulator (AVR) system terminal tracking ...
Bouaddi, Abdessamade +2 more
core +2 more sources
UEG Week 2025 Moderated Posters
United European Gastroenterology Journal, Volume 13, Issue S8, Page S189-S802, October 2025.
wiley +1 more source
Hybridised Artificial Neural Network model with Slime Mould Algorithm: A novel methodology for prediction urban stochastic water demand [PDF]
Urban water demand prediction based on climate change is always challenging for water utilities because of the uncertainty which results from a sudden rise in water demand due to stochastic patterns of climatic factors. For this purpose, a novel combined
Abdulkareem, IH +9 more
core
UEG Week 2025 Poster Presentations
United European Gastroenterology Journal, Volume 13, Issue S8, Page S803-S1476, October 2025.
wiley +1 more source

