Evolutionary Robust Design of Analog Filters Using Genetic Programming
نویسندگان
چکیده
This chapter proposes a robust design approach that exploits the openended topological synthesis capability of genetic programming (GP) to evolve robust lowpass and highpass analog filters. Compared with a traditional robust design approach based on genetic algorithms (GAs), the open-ended topology search based on genetic programming and bond graph modeling (GPBG) is shown to be able to evolve more robust filters with respect to parameter perturbations than what was achieved through parameter tuning alone, for the test problems.
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