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- W2361328361 abstract "A composite particle swarm optimization algorithm(C-PSO) in which the particle swarm optimization(PSO) is integrated with genetic algorithm(GA) is proposed and applied to a complicated and nonlinear generation expansion planning of hydro-thermal mixed power system.This integrated algorithm improves the global search ability of PSO,and the convergence speed is faster than GA.Case analysis result shows clearly that this algorithm can reliably and fast search for global optimal solution in short-term planning.To solve the problems of large scale and long-term generation expansion planning of power system,it is feasible as well." @default.
- W2361328361 created "2016-06-24" @default.
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- W2361328361 date "2006-01-01" @default.
- W2361328361 modified "2023-09-25" @default.
- W2361328361 title "Generation expansion planning of hydro-thermal mixed power system based on C-PSO" @default.
- W2361328361 hasPublicationYear "2006" @default.
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