The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

An intractable but common problem in photovoltaic systems is that the power generated by
photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the …

Partial shading is a serious obstacle to effective utilization of photovoltaic (PV) systems since
it result in significant output power reduction. PV array reconfiguration strategy is one of the …

Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …

Partial shading is a significant obstacle to the effective use of photovoltaic (PV) systems
because it reduces output power significantly. The output power reduction is not proportional …

Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …

Non-uniform irradiation levels also have a negative impact on solar photovoltaic (PV)
systems, forcing them to increase their power losses. Each PV array row has different current …

Recently, several meta-heuristics and evolutionary algorithms have been proposed for
tackling optimization problems. Such methods tend to suffer from degraded performance …

In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is
provided. In multi-objective optimization (MO), more than one objective function must be …

The functioning of a photovoltaic (PV) array in the shadow presents significant issues owing
to power loss, which affects the harvested power. One of the greatest promising methods for …