Abstract
Particle swarm optimization algorithm is an excellent algorithm for solving optimization problems. As to improve the accuracy of the PSO, we used a way to combining related theories of membrane computing, to overcome the premature convergence. One Level Membrane Structure P-System based particle swarm optimization is proposed in a P system frame in this paper. This proposed OLMS-PSO can effectively improve the convergence rate and convergence speed compare with formal PSO.
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CITATION STYLE
Xu, W., & Liu, X. (2016). One level membrane structure P system based particle swarm optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9567, pp. 936–941). Springer Verlag. https://doi.org/10.1007/978-3-319-31854-7_103
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