Abstract
Hydropower station optimal operation is a complex nonlinear combinatorial optimization problem. An improved particle swarm optimization (IPSO) algorithm is suggested. The culture algorithm is introduced and local random search operator to achieve knowledge structure in belief space and enhance the population diversity and increase the capacity of global search with the introduction of culture algorithm, The simulation results of new algorithm compares with particle swarm optimization (PSO) algorithm and shows that this new algorithm can overcome the shortcomings of the traditional PSO and to gain better convergence speed and computational accuracy.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ma, X. (2011). Optimal Operation of Hydropower Station Based on Improved Particle Swarm Optimization Algorithm. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21411-0_37
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DOI: https://doi.org/10.1007/978-3-642-21411-0_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21410-3
Online ISBN: 978-3-642-21411-0
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