Genetic optimization of interval arithmetic-based worst case circuit tolerance analysis

A new approach for improving the efficiency and accuracy of interval arithmetic (IA) based worst case (WC) circuit tolerance analysis (TA) is presented in this paper. The partitioning of the parameters´ tolerance/uncertainty ranges, which is necessary to increase the accuracy of IA-based computations, is optimized by means of a genetic algorithm (GA). It is shown that the IA-GA approach permits us to solve problems of small-change (SC) as well as large-change (LC) WC circuit TA, accurately and reliably. Several applications to the analysis of circuits with uncertain parameters are presented and discussed