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- W1828048068 abstract "Genetic algorithm (GA) search methods are rooted in evolution mechanisms and the nature of genetics. They have been applied to a wide range of industrial applications but research shows that standard genetic algorithms have some defects such as unsatisfactory local searching ability and premature convergence. The article proposes a genetic algorithm to overcome these shortcomings. The simulated result shows that the hybrid algorithm helps the practical system achieve a better performance." @default.
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- W1828048068 date "2002-11-07" @default.
- W1828048068 modified "2023-09-25" @default.
- W1828048068 title "Simulated annealing genetic hybrid algorithm and its applications" @default.
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- W1828048068 doi "https://doi.org/10.1109/wcica.2000.860051" @default.
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