Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

Topology optimization by optimally distributing materials in a given domain requires non-
gradient optimizers to solve highly complicated problems. However, with hundreds of design …

Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

Data mining techniques are being used for breast cancer classification and good
performance accuracy has been obtained while using the techniques individually or as …

In recent years, the scientific community has witnessed an explosion in the use of pattern
recognition algorithms. However, little attention has been paid to the tasks preceding the …

Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have
recently been employed in a variety of detection applications to determine the most relevant …

The goal of anomaly-based intrusion detection is to build a system which monitors computer
network behaviour and generates alerts if either a known attack or an anomaly is detected …

Risk of heart catheterization is huge, to ensure the patient will perform right heart
catherization optimally, it is necessasry to predict whether the paient needs it or not. In this …

In this treatise, an integration of feature transformation, optimization, and prediction
algorithm has been proposed for voltammetric signal to improve the prediction accuracy of …

The dimensionality of data is increasing very rapidly, which creates challenges for most of
the current mining and learning algorithms, such as large memory requirements and high …