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.
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Zeng, J., Cui, Z., Wang, L. (2005). A Differential Evolutionary Particle Swarm Optimization with Controller. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_57
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DOI: https://doi.org/10.1007/11539902_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
Online ISBN: 978-3-540-31863-7
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