This work presents an extensive review of hierarchical control strategies that provide
effective and robust control for a DC microgrid. DC microgrid is an efficient, scalable and …

Networked microgrids (NMGs) are developing as a viable approach for integrating an
expanding number of distributed energy resources (DERs) while improving energy system …

The grey wolf optimizer (GWO) is a newly developed swarm intelligence-based optimization
technique that mimics the social hierarchy and group hunting behavior of grey wolves in …

A novel optimal multilevel thresholding algorithm for histogram-based image segmentation
is presented in this paper. The proposed algorithm presents an improved variant of PSO, a …

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …

Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …

Linear and circular arrays are optimized using the particle swarm optimization (PSO)
method. Also, arrays of isotropic and cylindrical dipole elements are considered. The …

We present unequally spaced linear array synthesis with sidelobe suppression under
constraints to beamwidth and null control using a design technique based on a …

A review of evolutionary algorithms (EAs) with applications to antenna and propagation
problems is presented. EAs have emerged as viable candidates for global optimization …

Biogeography based optimization (BBO) is a new inclusive vigor based on the science of
biogeography. Biogeography is the schoolwork of geographical allotment of biological …