Fig 1.
Exploration rate () at different iterations in the original ALO.
Fig 2.
The exploration and exploitation values of different chaotic maps.
Fig 3.
The proposed chaotic antlion optimization (CALO).
Table 1.
Datasets used in the experiments.
Table 2.
Parameter settings for CALO.
Fig 4.
The fitness values obtained from different methods for all 18 datasets.
Fig 5.
The fitness values obtained from different methods for biological datasets.
Fig 6.
The fitness values obtained from different methods for non-biological datasets.
Table 3.
Average classification accuracy of 20 independent runs for GA, PSO, ALO, and 5 different chaos maps of CALO.
Table 4.
Average selection size of 20 independent runs for GA, PSO, ALO, and 5 different chaos maps of CALO.
Table 5.
An example of the feature selection size (reduction) for each optimization algorithm using the Breastcancer dataset.
Table 6.
An example of the feature selection size (reduction) for each optimization algorithm using the HeartEW dataset.
Table 7.
Average f-score of 20 independent runs for GA, PSO, ALO, and 5 different chaos maps of CALO.