Feb 8, 2021 · In this paper, we consider minimizing three objectives of FS and propose a problem-specific non-dominated sorting genetic algorithm (PS-NSGA).
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In this paper, we consider minimizing three objectives of FS and propose a problem-specific non-dominated sorting genetic algorithm (PS-NSGA). In PS-NSGA, an ...
A problem-specific non-dominated sorting genetic algorithm for supervised feature selection. record by Yu Zhou • A problem-specific non-dominated sorting ...
Jun 26, 2023 · This work proposes a length-adaptive non-dominated sorting genetic algorithm (LA-NSGA) with a length-variable individual encoding and a length- ...
Zhou Y, Zhang W, Kang J, et al. A problem-specific non-dominated sorting genetic algorithm for supervised feature selection[J]. Information Sciences, 2021, 547: ...
Sep 18, 2022 · Non-dominated Sorting Genetic Algorithm II (NSGA2) is an extremely effective algorithm for biomarker discovery but has been rarely evaluated ...
A problem-specific NSGA-II method (PS-NSGA) is proposed for minimizing three objec- tives of FS, i.e., accuracy, feature count and a specific dis- tance metric ...
LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification · A problem-specific non-dominated ...
This work proposes a length-adaptive non-dominated sorting genetic algorithm (LA-NSGA) with a length-variable individual encoding and a length-adaptive ...
genetic algorithm with aggressive mutation and decreasing feature set ...
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Jul 26, 2023 · This paper introduces a modified version of a genetic algorithm with aggressive mutation (GAAM), one of the genetic algorithms (GAs) used for feature selection.