Parallel evolutionary method for analog state variable transconductance filter

In order to improve precision of the filter's parameters and performance indexes, meet the real-time requirements, an evolvable hardware structure and design method for an analogue evolvable transconductance filter was presented. Genetic operations, multi-objective fitness functions and migration strategy to multi-objective parallel genetic algorithm was improved. Evolutionary efficiency of the algorithm was improved. Optimization design of the filter was realized by improved multi-objective parallel genetic algorithm. In the course of design of the state variable transconductance filter with high Q value, the in system programmability programmable analog circuits was used, and structure of the four-order bandpass state variable transconductance filter was built by cascade method, which was able to meet performance requests in its stop band, passband, transition band, and the filter's practicality had been simulated and verified. Values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.