Optimization of the performance of a voltage measuring station using genetic algorithm

This article describes the use of the genetic algorithm (GA) for the optimization of the performance of a voltage measuring station. This procedure can be used for the instruments for which regular and systematic calibration is required for better performance. Here, a GA-based correction module has been used to internally store a few previous measured-value and measured-time pairs and to use these values to correct the current readings. Sanity-checking runs against zero and standard voltages from time to time and auto-calibrates itself. The genetic algorithm libraries have been developed along with the correction module. This system can also be considered as a test bed for the study of self-calibration algorithms.