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- W2074828480 abstract "Genetic algorithms often cause premature convergence and can not give out global optimality in solving UC problems,while the simulated annealing algorithm shows better performance in accepting new solutions.By introducing annealing algorithm to the evaluation functions and the selection manipulation,the selection manipulation and the global convergency can be improved.Using decimal coding with no decoding,both the calculation error and time for calculation can be reduced.The example shows that this hybrid algorithm can improve the economic performance of UC scheme while various restrictions for security and reliability are still satisfied." @default.
- W2074828480 created "2016-06-24" @default.
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- W2074828480 date "2013-11-01" @default.
- W2074828480 modified "2023-09-25" @default.
- W2074828480 title "Optimal Dispatching Methods for Unit Commitment Based on Hybrid Genetic-Simulated Annealing Algorithm" @default.
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- W2074828480 doi "https://doi.org/10.4028/www.scientific.net/amm.462-463.1076" @default.
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