Bifurcation point detection with parallel nested layer particle swarm optimization
Tomo Hasegawa, Haruna Matsushita, Takuji Kousaka, Hiroaki Kurokawa · Nonlinear Theory and Its Applications IEICE · 2022
This paper describes the parallelization of Nested Layer Particle Swarm Optimization (NLPSO) to improve the computation time for bifurcation point detection. While NLPSO allows for the search for bifurcation points with less prior knowledge than the previously used Newton's approach, a reduction in computation time is necessary. Parallelization with CUDA made bifurcation point identification with NLPSO up to 24× faster in our experiments.