This article presents a comparative analysis of the latest swarm-based optimization
approaches under partial shading conditions (PSCs) for maximum power point tracking …

An intricate issue suffered by photovoltaic systems is partial shading condition (PSC) which
is an unavoidable and complex problem. It degrades the maximum power generation and …

Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

Due to the global progress, the optimization problems are becoming more and more
complex. Hence, deterministic and heuristic approaches are no longer adequate for dealing …

Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

This paper studies the problem of the energy system optimization for photovoltaic (PV)
generator supplying the electric vehicle. The used photovoltaic generator was conceived …

In this research, a novel initialization strategy for conventional MPPT algorithms is proposed
to define the best position for the tracking process to start over the P–V curve. Consequently …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …

An effective maximum power point tracking (MPPT) technique plays a crucial role in
improving the efficiency and performance of grid-connected renewable energy sources …

The integration of photovoltaic (PV) into electric power systems has been widely explored
and adopted to address the problems associated with the depletion of fossil fuels and the …