Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …

A great number of prediction methods have been proposed in the past several decades for
residential building energy consumption prediction. In this paper, the proposed machine …

The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …

Many intrusion detection algorithms that use optimization have been developed and are
commonly used to detect intrusions. The process of selecting features and the parameters of …

The noise emitted by small wind turbines is one of the main reasons for their poor public
perception for use in urban areas. An optimization study was performed to mitigate the …

Kernel methods are widely used in machine learning. They introduce a nonlinear
transformation to achieve a linearization effect: using linear methods to solve nonlinear …