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- W3146049279 abstract "Genetic Algorithm (GA) search methods are rooted in evolution mechanisms and the nature of genetics, it has been applied to a wide range of industrial applications. But recent research shows that standard genetic algorithms have some defects such as unsatisfactory local searching ability and premature convergence. The article proposed a genetic algorithm to overcome these shortcomings. The simulated result shows that the hybrid algorithm helps the practical system achieves the better performance." @default.
- W3146049279 created "2021-04-13" @default.
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- W3146049279 date "2000-01-01" @default.
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- W3146049279 title "Simulated Annealing Genetic Hybrid Algorithm and Its Applications" @default.
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