Nonlinear Theory and Its Applications, IEICE
Online ISSN : 2185-4106
ISSN-L : 2185-4106
Special Section on Nonlinear Science Workshop on the Journal
Bifurcation point detection with parallel nested layer particle swarm optimization
Tomo HasegawaHaruna MatsushitaTakuji KousakaHiroaki Kurokawa
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2022 年 13 巻 2 号 p. 312-317

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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.

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© 2022 The Institute of Electronics, Information and Communication Engineers
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