Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …

Differential evolution (DE) is a simple yet powerful evolutionary algorithm for numerical
optimization. However, the performance of DE significantly relies on its mutation operator …

Localization technology has been a core component for Internet of Things (IoT), especially
for Wireless Sensor Network (WSN). Among all localization technologies, Distance Vector …

Accurate organ segmentation in ultrasound (US) images remains challenging because such
images have inhomogeneous intensity distributions in their regions of interest (ROIs) and …

Differential evolution (DE) is among the best evolutionary algorithms for global optimization.
However, the basic DE has several shortcomings, like the slow convergence speed, and it is …

With the advancement in artificial intelligence (AI) based E-healthcare applications, the role
of automated diagnosis of various diseases has increased at a rapid rate. However, most of …

Rotation axes have been proven to be the greatest factor leading to machine tool errors,
which seriously affect the machining accuracy. Therefore, it is imperative to identify the …

The basic bat algorithm (BA) is a swarm intelligent algorithm, which simulates the
echolocation behavior of micro bats. Although BA is easy to implement and efficient in …

Differential evolution (DE) is known among the best methods for solving real-world
optimization problems owing to its simple and efficient nature. Since almost all real-world …

Differential evolution (DE) has been recognized as one of the most popular evolutionary
algorithms. There are numerous DE variants adopting multi-operators based cooperation …