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 …

Data clustering is one of the most popular techniques in data mining. It is a process of
partitioning an unlabeled dataset into groups, where each group contains objects which are …

Many areas in power systems require solving one or more nonlinear optimization problems.
While analytical methods might suffer from slow convergence and the curse of …

Particle swarm optimization (PSO) has received increased attention in many research fields
recently. This paper presents a comprehensive coverage of different PSO applications in …

Since the beginning of the nineteenth century, a significant evolution in optimization theory
has been noticed. Classical linear programming and traditional non-linear optimization …

Several initiates have been taken promoting clean energy and the use of local flexibility
towards a more sustainable and green economy. From a residential point of view, flexibility …

Systematization, and clustering, as the next key direction for AUVs to perform their functions,
is becoming an area of enthusiasm among related researchers. And this must be …

The current carbon-based energy system is undergoing a profound change driven by the
increased concerns over the longevity and security of energy supply, as well as energy …

Nowadays, optimization problems are solved through meta-heuristic algorithms based on
stochastic search approaches borrowed from mimicking natural phenomena …

This paper proposes a new methodology for coordinated voltage support in distribution
networks with large integration of distributed generation and microgrids. Given the …