This paper deals with the problem of optimum test pro gram development in analog circuit testing process. Pre-production testing and production testing are taken into account by the presented algorithm. Genetic algorithms are used as a new method for optimum test selection. This approach enhances quality and speeds up finding suboptimal solutions by finding more then one good result in each genetic algorithm cycle. Results for a hypothetical example are given to clarify and discuss the method and they seem to be very promising..
CITATION STYLE
Rutkowski, J., Zielinski, L., & Puchalski, B. (2006). Optimum Tests Selection for Analog Circuits with the Use of Genetic Algorithm. In Soft Computing: Methodologies and Applications (pp. 129–135). Springer-Verlag. https://doi.org/10.1007/3-540-32400-3_10
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