Component value selection for active filters using parallel tabu search algorithm

The determined component values by means of conventional approach to the design of analogue electronic circuits, typically do not coincide with all manufactured standard values and the designer selects the nearest standard value, thus causing a design deviation. In general, a better set of standard values will exist in the discrete domain of standard component values. However, this set will be in a solution space of all possible component-value combinations that is a highly complex discrete search problem. Tabu search is a heuristic optimisation algorithm, which simulates the general rules of intelligent problem solving and has the ability of discovering the global minima in a multi-modal search space. In this work, a novel method based on a parallel tabu search algorithm is described for the component value selection of the analogue active filter.