A Genetic Algorithm Based Test Stimulus Generation Method for Catalog Controller
A technology of controller testing and genetic algorithm, applied in the field of genetic algorithm-based catalog controller test stimulus generation, can solve problems such as difficult to meet regression testing, accelerate function verification convergence, etc., to save expert time, reduce simulation time, and improve growth rate effect
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[0057] S4: select the recombined population chromosomes according to the crossover probability to perform crossover operation to generate a new chromosome t4, based on negation
[0067] S2d: Repeat steps S2b and S2c until the number of chromosomes in the population reaches a predetermined population number M.
[0069] cov
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[0080] The threshold value generally adopts a fixed value. As a preferred implementation, in order to promote the rapid collection of genetic algorithms
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[0083] In this embodiment, the mutation operation is performed according to the mutation probability in step S3. Generate new chromosomes, based on negative selection
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[0089] In this embodiment, the threshold ε for the fitness value setting in step S5 can be defined as 95% to 100% with reference to.
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