Surrogate-assisted evolutionary algorithms (EAs) have been proposed in recent years to
solve data-driven optimization problems. Most existing surrogate-assisted EAs are for …

Conventional clustering algorithms do not recognize patterns and structures with
contradicting objectives in large, distributed datasets. Distributed clustering leverages rapid …

Surrogate-assisted evolutionary algorithms (SAEAs) have achieved effective performance in
solving complex data-driven optimization problems. In the Internet of Things environment …

The ability to detect the ball on a soccer robot is the key to victory in a match. However, in
reality, there are several things that can become a distraction in the detection process …

Fuzzy C-means (FCM) is a widely known clustering algorithm, which performs segregation
of a dataset by giving equal weightage to all the features associated with it. In case of …

Abstract Wireless Mesh Networks are becoming increasingly important in many applications.
In many cases, data is acquired by devices that are distributed in space, but effective actions …