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- W2385945283 abstract "The general model of dynamic test data generation is discussed in this paper.Simulated annealing genetic algorithm(SAGA) is utilized in this model as the main searching method for solving the problem of trapping in local optimum. In this algorithm,the implementation of simulated annealing filtration,the improvement of accelerated-fitness function and the control of temperatures iterative style construction combine simulated annealing(SA) and genetic algorithm(GA) together.Furthermore,the neighbor construction of SA is optimized and elitism reservation method of GA is applied to improve convergence efficiency.Finally,some experiment results are presented which show that SAGA is more efficient than other methods." @default.
- W2385945283 created "2016-06-24" @default.
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- W2385945283 date "2005-01-01" @default.
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- W2385945283 title "Automated Software Test Data Generation by SAGA" @default.
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