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- W2371567775 abstract "An ant colony algorithm (ACA) to solve the long-term optimal operation of cascade hydropower stations is presented in this paper. The ACA is simulated with the search food process of ant colony to obtain the optimal scheduling. The ACA is abstracted as the ant's path from the solution of the problem. The state transition rule, global updating information and the neighbor search are also employed to get the optimal scheduling. Case study result proves that ACA can solve nonlinear problem with complex constrains. The ACA shows its advantages on computing speed and convergence. Therefore an new efficient method is provided for optimal operation of cascade hydropower stations." @default.
- W2371567775 created "2016-06-24" @default.
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- W2371567775 date "2005-01-01" @default.
- W2371567775 modified "2023-09-25" @default.
- W2371567775 title "Optimal operation of cascade hydropower stations based on ant colony algorithm" @default.
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