Dec 12, 2020 · ACO is a discrete method, and it has an excellent ability to resolve feature selection problem [6]. Ants select edges one by one in ACO to find ...
This paper proposes a hybrid approach called Ant-Antlion Optimizer which combines advantages of antlion's smart behavior of antlion optimizer and ant's powerful ...
Advanced Antlion Optimizer with Discrete Ant Behavior for Feature Selection ; Q1. IEEE. A Classification Method Based on Feature Selection for Imbalanced Data.
Dec 1, 2020 · This paper proposes a hybrid approach called Ant-Antlion Optimizer which combines advantages of antlion's smart behavior of antlion optimizer ...
<p>Feature selection is important for learning algorithms, and it is still an open problem. Antlion optimizer is an excellent nature inspired method, ...
Begin reading now. J-STAGE. Advanced Antlion Optimizer with Discrete Ant Behavior for Feature Selection. Material type: 記事. Author: LI Mengmengほか. Publisher ...
ALO algorithm mimics the hunting mechanism of antlions in nature. The proposed model is evaluated using different evaluation criteria on 18 different data sets ...
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To effectively tackle MKP, we propose a novel method called the ant-antlion optimizer with similarity information. It incorporates the similarity concept ...
We propose an optimization approach for the feature selection problem that considers a “chaotic” version of the antlion optimizer method.
Mar 10, 2016 · We propose an optimization approach for the feature selection problem that considers a “chaotic” version of the antlion optimizer method.