With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …

IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …

Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …

For swarm intelligence algorithms, each individual in the swarm represents a solution in the
search space, and it also can be seen as a data sample from the search space. Based on …

Recently, mobile networking systems have been designed with more complexity of
infrastructure and higher diversity of associated devices and resources, as well as more …

Optimization based pattern discovery has emerged as an important field in knowledge
discovery and data mining (KDD), and has been used to enhance the efficiency and …

In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …

As required by the Energy Policy Act of 2005, utility companies across the US are offering
TOU (time-of-use) based electricity demand response programs. The TOU rate gives …

Algorithms implementing populations of agents which interact with one another and sense
their environment may exhibit emergent behavior such as self-organization and swarm …

Particle swarm optimization is a stochastic population-based algorithm based on social
interaction of bird flocking or fish schooling. In this paper, a new adaptive inertia weight …