Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …

Today, finding a viable solution for any real world problem focusing on combinatorial of
problems is a crucial task. However, using optimisation techniques, a viable best solution for …

The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the
biological behaviours of swarm of wolves hunting for prey. This paper presents recent …

The performance of different mechanisms utilised to perform anomaly detection depends
heavily on the group of features used. Therefore, dealing with a multi-dimensional dataset …

Grey wolf optimization (GWO) is a recently developed nature-inspired global optimization
method which mimics the social behaviour and hunting mechanism of grey wolves. Though …

As the number of intrusions is increasing, intrusion detection of systems and network
infrastructures Systems (IDS) is now an active research area to develop reliable and efficient …

In recent years, optimal sizing and location of reactive power resources are drawing much
attention to help the operators of the utilities to enhance the power system operations …

Web services are a type of application software, which can be remotely accessed through
the Internet. Due to the proliferating growth of web services of the same functionality, the …

Due to the dynamic nature of Internet of Things (IoT) services hosted by energy-constrained
devices, the problem of composing services to provide added-value ones with a reduced …

The emergence of Internet of Things (IoT) paradigm has led to a continuous increase in the
number of services that have similar functionalities but different quality of service (QoS). The …