Analogue filter design using differential evolution
Although analogue circuits have been successfully used in a variety of real life applications, the design of such circuits is very challenging and a time-consuming task. Automating the design of analogue circuit using optimisation algorithms is urgently needed. Algorithms inspired from natural evolution called evolutionary algorithms (EAs) were successfully used to solve variety of engineering problem. EAs are capable of providing pioneer solutions because they are capable of handling multimodel function, deal with functional non-linearity and measurement noise. In this paper, we explore the advantages of using differential evolution (DE) algorithm to select the optimal elements of analogue electronic circuit and specially passive and active filters. The produced results show that DE can find the optimal values of the proposed circuit elements such as resistor, capacitor and inductor in an efficient way. The developed circuits were tested with significant results.
filter design de differential evolution eas evolutionary algorithms