To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) ...
In practical applications, optimization problems constitute a vast and intricate category of challenges. Examples include UAV path planning 1,2, energy system optimization 3, production line ...
Researchers have suggested to use a hybrid version of the so-called salp swarm algorithm (SSA) algorithm for maximum power point tracking in PV systems operating under highly fluctuating environmental ...
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