Abstract
To improve the computational efficiency,a new uniform model of particle swarm optimization (PSO) and corresponding algorithm, differential evolutionary PSO (DEPSO), are described, and the convergence is analyzed with transfer function. To enhance the diversity of swarm, PID controller is used to control dynamic evolutionary behavior of DEPSO. Simulation results have proved the algorithm's efficiency. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
APA
Zeng, J., Cui, Z., & Wang, L. (2005). A differential evolutionary particle swarm optimization with controller. In Lecture Notes in Computer Science (Vol. 3612, pp. 467–476). Springer Verlag. https://doi.org/10.1007/11539902_57
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