Optimization of Titania humidity sensor model by improved genetic algorithms

The gel method is used in the experiment to prepare titanium film on the surface of quartz glass printed with comb silver electrodes, and by sintering, a series of humidity-sensitive elements are obtained. Taking equivalent circuit model parameters of Titania humidity sensor as optimizing object, an equivalent circuit optimization method is proposed based on improved genetic algorithm. Elitist strategy is added in select option of algorithm, and fitness function is suitably adjusted. Thereby, operational efficiency and accuracy of the algorithm are enhanced. Fitting curves and fitness function plots are obtained. The correctness of equivalent circuit is proved intuitionally by fitting curves. And the operating effects of algorithm are even more clearly expressed by fitness function plots. At the same time, the iterative method is used to compute parameter values of the equivalent circuit.