Quality Control and Genetic Algorithms
In general, we can not use algebraic methods to optimize the quality control procedures. Usage of enumerative methods would be very tedious, especially with multi-rule procedures, as the number of the points of the parameter space to be searched grows exponentially with the number of the parameters to be optimized. Optimization methods based on the genetic algorithms offer an appealing alternative.
Furthermore, the complexity of the design process of novel quality control procedures is obviously greater than the complexity of the optimization of predefined ones.
In fact, since 1993, genetic algorithms have been used successfully to optimize and to design novel quality control procedures.
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