Optimal Selection of Features Using Artificial Electric Field Algorithm for Classification
Sign Up to like & getrecommendations! Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-021-05486-x
Abstract: The high-dimensional features in the data may affect the performance of the classification model as all of them are not useful. The selection of relevant optimal features is a tedious task, especially the data in… read more here.
Keywords: features using; artificial electric; approach; electric field ... See more keywords
Artificial electric field algorithm with dynamic neighborhood learning for global optimization
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/adb706
Abstract: Artificial electric field algorithm (AEFA) is a simple yet effective search technique, which has displayed good performance in tackling some optimization problems. However, as the complexity of the problem to be solved increases, AEFA has… read more here.
Keywords: dynamic neighborhood; electric field; field algorithm; neighborhood ... See more keywords