Projection particle swarm optimizer
Qingshan Liu, Bingrong Xu, Jiang Xiong, Wei Zhang · 2017
In this paper, a novel particle swarm optimizer is developed by introducing projection operators described by projection matrices into the algorithm. Under the projection operators, the particles will oscillate along the directions determined by the projection operators to enhance global explorations. At the same time, the particles explore locally the optimal solutions when they are close to the global best solution. Moreover, two oscillation factors are introduced into the standard particle swarm optimizer to depict the particles' oscillation amplitudes. Simulations on several benchmark functions and system approximation illustrate the significant and effective impact of the two projection parts on the particle swarm optimizer.