The slime mould algorithm (SMA) is a recent physics-based optimization approach. The
main inspiration of the SMA is motivated by the natural oscillating state of the slime mould …

Solar Photovoltaic (PV) system is an excellent renewable energy solution in today's
scenario. Harvesting maximum power from the solar PV system under dynamic …

PV systems may suffer significant power loss caused by irregular irradiance patterns and
changing temperatures. Moreover, partial shading (PS) is a major defect for existing …

Abstract Maximum Power Point Trackers (MPPTs) are power electronic conditioners used in
photovoltaic (PV) system to ensure that PV structures feed maximum power for the given …

In this paper, an adaptive Fluctuant Population size Slime Mould Algorithm (FP-SMA) is
proposed. Unlike the original SMA where population size is fixed in every epoch, FP-SMA …

In past few decades, solar energy plays a vital role in energy production among the different
renewable energy resources. In shaded/unshaded photovoltaic (PV) systems, tracking of …

The development of a robust optimization control technique, which can handle numerous
nonlinear system problems, is one of the most challenging aspects of science production. In …

In this work, an enhanced slime mould algorithm (ESMA) based on neighborhood
dimension learning (NDL) search strategy is proposed for solving the optimal power flow …

Maximum power point tracking (MPPT) is an algorithm to extract maximum available power
from a solar photovoltaic system associated with DC-DC power converters. Conventional …

Abstract Slime Mould Algorithm (SMA) is a recently introduced meta-heuristic stochastic
method, which simulates the bio-oscillator of slime mould. In this paper, an improved variant …