… Feature selection plays an important role in the classification and machine learning, as it …
The position of the agent is changed in discrete space with the probability of its velocity by …

… Machine Learning based SVM classifier is used for identifying … for the attribute subsets will
be changed to ensure that the bat … method that incorporates Bat Algorithm and demonstrates …

… machine learning for hybrid IDS based on Support Vector Machine (SVM) and Genetic Algorithm
(… MOIA was modified by the authors using a vector-based elite selection strategy, which …

… features provide valuable information, irrelevant features mislead the machine learning
algorithms, and redundant features … called velocity increment and to modify the velocity either f i …

… and machine learning that … A modified bat algorithm based feature selection algorithm (MBAFS)
with mutation to avoid premature convergence is implemented for attribute selection (…

… [6] proposed a novel hybrid algorithm based on information gain and a modified binary krill
… the original binary bat algorithm (BBA) and the variable-step adaptive binary bat algorithm(…

… every area of optimization, feature selection, classification, and engineering … binary bat
algorithm, the proposed study conducted a review of recent applications and modifications…

… the Dynamic Inertia Weight Binary Bat Algorithm (DIWBBA) algorithm. The enhancements
… ‘Modified binary bat algorithm for feature selection in unsupervised learning,’’ Int. Arab J. Inf. …

… of 96.21% using machine learning classifier ie random forest. … The algorithm proficiently
combines the feature selection … The EBBA algorithm is modified version of Binary Bat Algorithm…

… Machine learning is used extensively in … bat algorithm is modified into binary bat algorithm
with wrapper function that explores the speed of a decision tree classifier with a set of features …