… Feature selection is considered as a vital step to increase the classification … a Modified Bat
Algorithm (MBA) for feature selection to eliminate irrelevant features from an original dataset. …

… feature selection (FS) methods based upon an imperialist competitive algorithm (ICA) and a
bat algorithm … performed on the Wisconsin diagnostic breast cancer (WDBC) dataset. Results …

… feature selection ratio. We used the three benchmark datasets (Breast Cancer Wisconsin
Diagnostic Dataset (… They used WDBC dataset for cancer classification. They compared the GA …

… In this study, binary Bat algorithm was used. The accuracy of the proposed … Modified bat
algorithm for feature selection with the wisconsin diagnosis breast cancer (WDBC) dataset…

… on Wisconsin Diagnosis Breast Cancer (WDBC) data set. The … features out and abandons
lower relevant features, then a subset of original data set will be obtained after feature selection…

… feature selection helps in key attributes that are relevant to the diagnosis of breast cancer.
The model has been tested utilizing the well-known Wisconsin Breast Cancer Dataset (WBCD…

… for utilizing the Wisconsin breast cancer datasets and SEER datasets for the best … [11]
created a bat algorithm for feature selection and tested it on the WDBC dataset. They found that …

… This paper reports feature selection and classification method for breast cancer … Modified
bat algorithm for feature selection with the wisconsin diagnosis breast cancer (WDBC) dataset…

… a modified version of the Bat algorithm referred to as parameter-free … version of the Bat
algorithm is first one to our knowledge. … has been tested on the Wisconsin Breast Cancer Dataset (…

… of features on Wisconsin diagnosis breast cancer (WDBC) … process as a wrapper technique
based on Bat Algorithm (BA) … modification of TLBO to search the solution space of features …